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1
Išoraite, Margarita. "ANALYSIS OF TRANSPORT PERFORMANCE INDICATORS." TRANSPORT 20, no. 3 (June 9, 2005): 111–16. http://dx.doi.org/10.3846/16484142.2005.9638006.
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The article analyses the following issues: 1) key performance indicators, 2) best value indicators, 3) performance indicators and the change process, 4) transport programme indicators inputs, outputs, results and impacts, 5) indicators of effectiveness, efficiency and performance, 6) overcoming of the problems of using indicators, 7) criteria of the establishment of performance indicator system.
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Vink, Karina, Md Nasif Ahsan, Hisaya Sawano, and Miho Ohara. "Global Water-Related Risk Indicators: Meta-Analysis of Indicator Requirements." Journal of Disaster Research 12, no. 2 (March 16, 2017): 355–67. http://dx.doi.org/10.20965/jdr.2017.p0355.
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Despite a long developmental history of water-related disaster risk indicators, there is still no consensus or reliable system for selecting objective data, no methodological system for choosing and verifying the relevancy of water-related disaster risk indicators, and no linking results back to root causes or addressing possible impacts on policies or actors to instigate change.Global policy documents such as the Sendai Framework for Disaster Risk Reduction (DRR) 2015–2013 [1] emphasize the urgent need for indicators capable of measuring risk reduction. However, developing and determining risk indicators faces many issues. Most disaster risk indices published do not yet include a basic overview of what data was used and how it was collected, let alone provide a systematic explanation of why each indicator was included, and why others were not. This consequently complicates linking the findings to their potential policy impacts. It also complicates the providing of clear-cut recommendations for improving resilience, which is a common intent of disaster risk indices.This study, which focuses on water-related hazards, aims to provide disaster managers with a set of criteria for evaluating existing datasets used in disaster risk indices, index construction methods, and the links back to policy impacts. So far, there has been no comprehensive overview of indicator requirements or scoring systems. Previous studies concerning indicator evaluating metrics [2] have fewer metrics and have not yet addressed the different tiers of requirements, namely objective indicator data quality, methodological/epistemological aspects of index composition, and, most importantly, policy and actors of change (impact requirements). Further testing of these metrics in local studies can lead to the greatly needed scientific justification for indicator selection and can enhance index robustness.The results aid in developing an evaluation system to address issues of data availability and the comparability of commonly used indicator sources, such as the World Bank. Once indicators can be scientifically linked to impacts through policy devices, national governments or other actors can become more likely to claim ownership of the data management of indicators. Future studies should expand this evaluation system to other natural hazards and focus on investigating the links between indicators and DRR in order to further validate indicator selection robustly.
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Wang, Mo Yu, Yan Yan Wang, Bing Jie Bai, and Xiao Liu Shen. "Index System Construction and Research of Inexact Influence Analysis Model of Energy Risk System." Advanced Materials Research 724-725 (August 2013): 1221–26. http://dx.doi.org/10.4028/www.scientific.net/amr.724-725.1221.
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With the growing tension of the energy resources, energy risk has become the core of common concern. In this paper, the definition and the cause of energy risk analysis, combined with the analytic hierarchy process (AHP) construct the comprehensive risk-based energy industry index system. According to the viewpoint of information theory, the entropy method to calculate the objective factors, to measure the information content of the Beijing Energy Risk indicators inexact. By visual comparison of each indicator entropy, research the impact of various indicators of system.
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Telles, Tiago S., Ana J. Righetto, Marco A. P. Lourenço, and Graziela M. C. Barbosa. "No-tillage system participatory quality index." Revista Brasileira de Engenharia Agrícola e Ambiental 24, no. 2 (February 2020): 128–33. http://dx.doi.org/10.1590/1807-1929/agriambi.v24n2p128-133.
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ABSTRACT The no-tillage system participatory quality index aims to evaluate the quality and efficiency of soil management under no-tillage systems and consists of a weighted sum of eight indicators: intensity of crop rotation, diversity of crop rotation, persistence of crop residues in the soil surface, frequency of soil tillage, use of agricultural terraces, evaluation of soil conservation, balance of soil fertilization and time of adoption of the no-tillage system. The aim of this study was to assess the extent to which these indicators correlate with the no-tillage system participatory quality index and to characterize the farmers who participated in the research. The data used were provided by ITAIPU Binacional for the indicators of the no-tillage system participatory quality index II. Descriptive analyses were performed, and the Pearson correlation coefficient between the index and each indicator was calculated. To assess the relationship between the indicators and the farmers’ behavior toward the indicators, principal component analysis and cluster analysis were performed. Although all correlations are significant at p-value ≤ 0.05, some correlations are weak, indicating a need for improvement of the index. The principal component analysis identified three principal components, which explained 66% of the variability of the data, and the cluster analysis separated the 121 farmers into five groups. It was verified that the no-tillage system participatory quality index II has some limitations and should therefore be reevaluated to increase its efficiency as an indicator of the quality of the no-tillage system.
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Xu, Dan, Jilong Liu, Dong Liu, Qiang Fu, Mo Li, Muhammad Abrar Faiz, Sicheng Liu, Tianxiao Li, Song Cui, and Ge Yan. "Indicator system optimization model for evaluating resilience of regional agricultural soil–water resource composite system." Water Supply 21, no. 6 (March 25, 2021): 3251–66. http://dx.doi.org/10.2166/ws.2021.090.
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Abstract Resilience is an important indicator for measuring regional sustainable development capacity. The construction of a suitable evaluation indicator system is the premise of evaluating regional sustainable development. In this study, taking the Jiansanjiang Administration of Heilongjiang Province in China as an example, a preliminary selection library of the evaluation indicator system for the resilience of a regional agricultural soil–water resource composite system covering seven subsystems and 59 indicators was established. Selection criteria such as the Dale indicator criteria, subjective and objective combination weighting and principal component analysis were introduced to construct an optimization model for the resilience evaluation indicator system for the ASWRS. First, 14 indicators that were incomplete or incapable were removed. Then, the Dale indicator selection criteria were used to ensure that 14 indicators were selected. The binary fuzzy comparison method and criteria importance through interference correlation method were used to calculate the combination weight. Finally, an indicator system optimization model was established. The indicator system was optimized from 59 to 35 indicators, and the completeness of the indicator system reached 85.75%. The proposed method had obvious advantages in terms of indicator identification and elimination, and it may truly achieve the goal of indicator optimization.
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Tmava, Qazim, Fahredin Berisha, and Milaim Mehmeti. "Comparative Analysis of Banking System Profitability in Western Balkan Countries." Journal of Economics and Management Sciences 2, no. 2 (June 1, 2019): p33. http://dx.doi.org/10.30560/jems.v2n2p33.
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The aim of this paper is to analyze the profitability of the banking sector in the Western Balkan countries. (Note 1) This paper reviews return on assets (ROA) as an indicator of profit and return on equity (ROE) as an indicator of profitability in the banking systems of the respective countries, as well as some other macroeconomic variables that influence them. The main objective of this study is to identify the specific and macroeconomic variables of this industry, that have an impact on the profitability of commercial banks operating in the Western Balkan countries during the 2008-2015 period. Specifically, this paper addresses external indicators (gross domestic product, remittances, foreign direct investment, unemployment), and industry and bank specific indicators (assets, loans, loan-to-deposit ratio, non performing loans and interest rates) that affect the profitability of the banking system in respective countries.
Therefore, according to the data generated during the research and the literature review, the profitability of banks measured by the ROA and ROE indicators, regarding the analyzed countries, turns out to be extremely low, especially compared to EU countries where they strive.
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Balamirzoev, N. L. "BUILDING AN INTEGRAL INDICATOR OF THE EFFECTIVENESS OF THE MICROCREDIT SYSTEM BASED ON THE ANALYSIS OF MODELS OF QUALITY OF LIFE." Herald of Dagestan State Technical University. Technical Sciences 45, no. 4 (June 27, 2019): 89–101. http://dx.doi.org/10.21822/2073-6185-2018-45-4-89-101.
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Objectives The policy of the state microcredit system should be aimed at achieving the maximum possible value of the indicators I.MFO, IB, IB and IBH. The greater the value of all of the introduced indicators IB, IFO, IB, IB and IB, the more effective from the point of view of state interests is the system of micro crediting . Method. The BLI and Diener models were used to assess the quality of life in terms of the possibilities and feasibility of using them to assess the effectiveness of the microcredit system. Result. In this paper, the formation of a composition of indicators to assess the effectiveness of the microcredit system based on the indicators considered in the proposed models is carried out. A variant is proposed for constructing an integral indicator for assessing the effectiveness of both the microcredit system as a whole and a separate microfinance organization (MFI). A list of 21 indicators was compiled, on the basis of which an integral indicator of the functioning of the MFO system was built. Conclusion. A set of indicators for evaluating the effectiveness of the microcredit system has been formed. Relations have been formed to estimate the value of the integral indicator of the effectiveness of the microcredit system, both at the level of the entire state and at the level of an individual region, which makes it possible to compare individual regions and states according to thedegree of effectiveness of microcredit systems in them.
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Bogdanova, Marina V., and Alexander A. Parshintsev. "ANALYSIS OF INTELLECTUAL CAPITAL: SOURCES OF INFORMATION AND SYSTEM OF INDICATORS." Scientific Review. Series 1. Economics and Law, no. 5 (2020): 80–90. http://dx.doi.org/10.26653/2076-4650-2020-5-07.
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This article is devoted to the assessment of intellectual capital, in particular, the development of a system of statistical indicators. In order to develop a system of statistical indicators, a comparative analysis of approaches to the definition of intellectual capital, as well as its structure, has been carried out. As a result of the performed analysis, it is proposed to study intellectual capital from the point of view of its essential specifics, taking into account the theoretical aspects of capital reproduction. For a comprehensive statistical analysis of intellectual capital, a multi-level system of indicators has been developed, the first level of which includes two components: intellectual potential and the result of its use, as well as three groups of indicators characterizing the process of intellectual capital reproduction: production of intellectual capital, distribution, exchange and its consumption. The second level of the scorecard details the components and groups of the first level. The third level includes individual indicators of intellectual capital. Using methods for constructing relative values and series of dynamics, the analysis of the presence and dynamics of intellectual capital by individual indicators in the Russian Federation and in comparison with the countries of the world was carried out. It was found that some indicators give multidirectional trends that complicate the overall interpretation of the results. It is concluded that it is necessary to develop a complex integral indicator of intellectual capital.
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Mashchenko, Maryna. "Analysis of the approaches to evaluate environmental security of enterprises." Economics of Development 17, no. 4 (December 10, 2018): 13–19. http://dx.doi.org/10.21511/ed.17(4).2018.02.
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Proved that to achieve socio-economic development of state it is necessary to ensure not only invarionmental security of state, but also of enterprise. There are a sufficiently large number of methods to evaluate the economic and ecological security of enterprise and, at the same time, there aren’t any practical methods to evaluate its environmental security. This confirms the necessity to analyse this issue in a more detailed way. The aim of the article is to analyse and identify the drawbacks of existing methods to evaluate the environmental security of enterprise and develop a system of indicators for environmental security of industrial enterprises. The following research methods were used in the article: method of analysis and synthesis to determine the drawbacks of existing methods to establish the level of environmental security, the graph analytic method to build a scheme of the process to develop the system of indicators for environmental security of industrial enterprise. It is determined that the process to develop the system of indicators for environmental security of industrial enterprise is a process of successive stages of determining the purpose and tasks to diagnose the state of environmental security of industrial enterprise, to select and process the necessary information and, directly, to develop a system of indicators of environmental security of industrial enterprise. The practical significance of this study is to determine the level of environmental security of industrial enterprise as an integral indicator. Its core is a set of social and economic, technical and technological, scientific and innovative, managerial and organizational indicators which have to account the criteria related to the external and internal environment of the enterprise activity. The proposed process to develop the system of indicators for environmental security of industrial enterprise allows determining the level of environmental security.
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LEV, M. Yu, M. B. MEDVEDEVA, Yu G. LESHCHENKO, and E. A. PERESTORONINA. "SPATIAL ANALYSIS OF FINANCIAL INDICATORS DETERMINING THE LEVEL OF ENSURING THE ECONOMIC SECURITY OF RUSSIA." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 2, no. 1 (2021): 21–34. http://dx.doi.org/10.36871/ek.up.p.r.2021.01.02.002.
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The key mechanism for assessing the risks and threats of the national economy at a qualitative level is the system of economic security indicators. The most important of its sections is the system of financial indicators, which includes groups of indicators that reflect the activities of the state and economic entities in various spheres of the economy. The object of the research is the economic security of Russia. The subject of the research is the system of financial indicators of economic security of Russia. The practical significance of the work is as follows: – the approaches proposed by the authors make it possible to assess the reality of the parameters of a macroeconomic forecast; – the system of financial indicators of economic security makes it possible to monitor the tax, budget, currency and other systems in aggregate, and to highlight those that are at risk; – the system of financial indicators of economic security contributes to the formation of individual of measures of a proactive nature to prevent and minimize crisis processes aimed at eliminating imbalances in the development and effective functioning of the national economic system. The results of the research can be used in the process of monitoring the economic activity of business entities, in the educational process of financial and economic disciplines, by government bodies in the formation of economic policy.
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Larionova, Natalia, and Julia Varlamova. "Correlation Analysis of Macroeconomic and Banking System Indicators." Procedia Economics and Finance 14 (2014): 359–66. http://dx.doi.org/10.1016/s2212-5671(14)00724-2.
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QIU, Hua-jiao, Wan-bin ZHU, Hai-bin WANG, and Xu CHENG. "Analysis and Design of Agricultural Sustainability Indicators System." Agricultural Sciences in China 6, no. 4 (April 2007): 475–86. http://dx.doi.org/10.1016/s1671-2927(07)60072-8.
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Wang, Zheng, Xuesheng Zhao, Wenbin Sun, Fuli Luo, Yalu Li, and Yuanzheng Duan. "Correlation Analysis and Reconstruction of the Geometric Evaluation Indicator System of the Discrete Global Grid." ISPRS International Journal of Geo-Information 10, no. 3 (February 27, 2021): 115. http://dx.doi.org/10.3390/ijgi10030115.
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Although a Discrete Global Grid (DGG) is uniform in its initial subdivision, its geometric deformation increases with the level of subdivisions. The Goodchild Criteria are often used to evaluate the quality of DGGs. However, some indicators in these criteria are mutually incompatible and overlap. If the criteria are used directly, the evaluation of the DGGs is inaccurate or unreliable. In this paper, we calculated and analyzed the correlation between the evaluation indicators of the DGG and reconstructed a quality evaluation system of DGGs with independent indicators. Firstly, we classified the Goodchild Criteria into quantitative and qualitative indicators. Then, we calculated the correlation among the quantitative indicators and extracted the independent evaluation factors and related weights of the observed values by factor analysis. After eliminating or merging the incompatible and overlapping quantitative indicators and performing a logical reasoning of the qualitative indicators, we reconstructed a comprehensive evaluation system with independent indicators. Finally, taking the Quaternary Triangular Mesh (QTM) model as an example, we verified the independence of the indicators and the feasibility of the evaluation system. The new indicator system ensures the reliability of the evaluation of DGGs in many fields.
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Zhang, Ke Wei. "Design for Enterprise Asset Management Evaluation System of Power Generation Enterprises Based on KPI." Advanced Materials Research 694-697 (May 2013): 3401–5. http://dx.doi.org/10.4028/www.scientific.net/amr.694-697.3401.
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Design for enterprise asset management (EAM) evaluation system of power generation enterprises based on key performance indicator (KPI) is proposed according to application of enterprise asset management system in power generation enterprises. KPIs preparations for implementation, goals and design principles are discussed. KPI-based EAM indicators of power generation enterprises are divided into operation management indicators, maintenance management indicators and materials management indicators in three parts. Finally benchmarking management analysis, comparative analysis of time trends and horizontal comparative analysis are used to analyze and evaluate the indicators.
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Santana, Ana, Alceu Pedrotti, Fernanda Oliveira, Francisco Holanda, Claudinei Guimarães, Ana Villwock, Arisvaldo Mello Junior, Raimundo Rodrigues Gomes Filho, Renisson Araújo Filho, and Sara Assunção. "Comparative analysis of sustainability assessment methods in agroecosystems." International Journal for Innovation Education and Research 9, no. 4 (April 1, 2021): 164–82. http://dx.doi.org/10.31686/ijier.vol9.iss4.3038.
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The aim of this work was to compare and analyze three different methods of the sustainability evaluation in agricultural systems, such as the Indicateurs de Durabilité des Exploitations Agricoles (IDEA), the weighted Assessment of environmental impact of New Rural activities (APOIA Novo-Rural), and the indicators of sustainability in Agroecosystem (ISA). Those methods were comparied by two criteria. The first one relates to the distribution of sustainability indicators into categories (Endogenous System Operation, Endogenous Resources, Exogenous Systems Operation, and Exogenous Resources) and elements (technical, socioeconomic, natural and cultural resources). The second one involves the conceptual approaches of each method towards the concept of sustainability, objective and target audience, adoption of the systemic approach, level of stakeholder’s participation, level of adequacy, and method flexibility in different realities. The indicators set of each method, although quantitatively different, consider the diversity of elements that involve the agricultural systems. The IDEA method concentrates its indicators on the Endogenous System Operation category, while the APOIA Novo-Rural and the ISA methods concentrate their indicators on the Endogenous Resources category. The IDEA method directs the assessment to the awareness of the environmental processes that surround the agricultural activity in the property. On the other hand, in the APOIA Novo-Rural and the ISA methods, the reflective practice is fostered from impacts on the environment, and can be improved by extension actions. The main difference presented among those methods is the integrative evaluation of the indicators as well as trade-offs involved.
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Ladvenicová, Jana, Zuzana Bajusová, Ľubomír Gurčík, and Dávid Červený. "Dupont Analysis of Farms in V4 Countries." Visegrad Journal on Bioeconomy and Sustainable Development 8, no. 2 (November 1, 2019): 82–86. http://dx.doi.org/10.2478/vjbsd-2019-0016.
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Abstract The paper deals with the analysis of factors that influence the change in return on equity (ROE) in farms of individual V4 countries – in Slovakia, Poland, Hungary and the Czech Republic. DuPont analysis denotes the decomposition of the ROE indicator and is classified as a basic pyramid decomposition. The pyramid system captures the relationship between indicators, where one synthetic indicator (ROE) is broken down into analytical indicators through linkages. In the case of a multiplicative link between indicators, the functional and logarithmic method is used. The source of data is the Farm Accountancy Data Network for the period 2009–2017. Comparing the first and last year we can conclude that the ROE indicator decreased in farms of all V4 countries (in Slovakia by 155%, in Czech Republic by 133%, in Hungary by 52% and in Poland by 19%). The predominantly positive or negative impact on its development was mainly influenced by two indicators: return on assets and return on sales in all countries.
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Shrestha, Ashish, and Francisco Gonzalez-Longatt. "Parametric Sensitivity Analysis of Rotor Angle Stability Indicators." Energies 14, no. 16 (August 16, 2021): 5023. http://dx.doi.org/10.3390/en14165023.
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With the increasing penetration rate of Power Electronic Converter (PEC) based technologies, the electrical power systems are facing the problem of transient stability since the PEC based technologies do not contribute to the system inertia, and the proportion of synchronous generators (i.e., the source of inertia) is in decreasing rate. In addition, PEC based technologies’ components have poor inherent damping. It is very important to analyze the system characteristics of a power system to minimize the potential instabilities during the contingencies. This paper presents the parametric sensitivity analysis of the rotor angle stability indicators for the 39-bus New England power system. The indicators of rotor angle stability analysis such as critical fault clearing time (CCT), Eigenvalue points, damping ratio, frequency deviation, voltage deviation, and generator’s speed deviation are identified and analyzed for three case scenarios; each scenario has six sub-cases with different inertia constants. The results show that the CCTs for each component will be reduced if the inertia reduces at any section of a multi-machine power system. Although the applied three scenarios with six sub-cases are identified to be stable in this analysis, the decreasing inertia constant has significant impact on the power system dynamics.
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HAN, Yurui, and Serge ROHMER. "Comparative Analysis of Sharing Bike Systems Based on Sustainability Indicators." European Journal of Sustainable Development 8, no. 5 (October 1, 2019): 445. http://dx.doi.org/10.14207/ejsd.2019.v8n5p445.
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With the growing importance and widely application of the sharing bike system in public transportation systems in cities, many relevant problems emerged, which brought serious influence to the sustainable development of the system. The aim of this paper is first to research the existing sustainability indicators of urban mobility system through literature reviews, next it is to redefine and select the related indicators of sharing bike system through deeply understanding the evolution of bike sharing systems in cities from a sustainable point of view. Then, indicators are selected and applied to better understand the generations of sharing bike systems after the description of the different generations of sharing bike systems. The comparison highlights which characteristics of sharing bike system should be considered to adopt to a sustainable urban development and which features of the sharing bike system could need improvement and change to cater to active demand of the city development.Keyword: sustainability, urban mobility, sharing bike system, indicators,
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Shvaiba, D. N. "Systematic Analysis of Indicators for Socio-Economic Security." Science & Technique 17, no. 4 (July 31, 2018): 338–43. http://dx.doi.org/10.21122/2227-1031-2018-17-4-338-343.
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Conducting a systematic analysis of indicators for socio-economic security it is necessary to point out that fundamental groups of characteristics pertaining to socio-economic security include the following indicators: social standard and quality of living, degree of socio-economic system security, level of national financial independence, situation with management system and provision of socio-economic security. All the mentioned and some other indicators have something in common while ensuring socio-economic security and, for this reason, it is important to keep their balance and coherence. Evaluation of socio-economic security for a macro-system can be implemented among other tasks while using matrix method. According to this method it is possible to evaluate a possibility of threat appearance due to changes in a specific indicator, level of impact on national security, duration and time rate of changes in unwanted manifestations. The matrix makes it possible to classify those dangers when there is a possibility of an unsafe situation occurrence to such extent that it is required to undertake urgent measures to improve the situation and take special actions. The proposed method demonstrates visible results and it is considered as a statistical method of analysis. The given method presents rather good results while making smooth changes in evolutionary characteristics of the system. Monitoring horizon of these models is 1–2 years. In this context it is necessary to take into account that the proposed method is hardly suitable in the case when there are prompt changes in characteristics from one group of indicators to the other one. This is due to the fact that statistics of past periods has been applied and it characterized the given system which was under completely different circumstances at that moment. If this is the case then there is a discrepancy in creation of methods at all levels of socio-economic systems and these methods adequately take into account dynamics of changes in the system.
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Gao, Tiemei, Tongbin Zhang, Xiaofei Fan, and Jinming Wang. "The Indicator Selection and Monitoring Analysis of Growth Rate Cycle in China." Journal of Systems Science and Information 4, no. 6 (December 25, 2016): 505–18. http://dx.doi.org/10.21078/jssi-2016-505-14.
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Abstract This paper chooses the monthly real growth rate of industrial added values, which have been released by the China National Bureau of Statistics, as the benchmark indicator. By using the large quantity of collected data, the actual value of indicators is obtained through deflating them by price index. Based on this result, 26 indicators from various areas of the economy are regarded as China’s macro economic prosperity indicators via methods such as K-L approach, time difference correlation analysis as well as grading system, which correspond well with the fluctuation of benchmark indicator. Furthermore, this paper analyzes and forecasts the economic growth rate cycle of China by composite index and early warning signal system.
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Lidoris, Georgios, Florian Rohrmüller, Dirk Wollherr, and Martin Buss. "System interdependence analysis for autonomous robots." International Journal of Robotics Research 30, no. 5 (January 17, 2011): 601–14. http://dx.doi.org/10.1177/0278364910393040.
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With the increasing complexity of robotic systems, system robustness and efficiency are harder to achieve, since they are determined by the interplay of all of a system’s components. In order to improve the robustness of such systems, it is essential to identify the system components that are crucial for each task and the extent to which they are affected by other components and the environment. Such knowledge will help developers to improve their systems, and can also be directly utilized by the systems themselves, for example, to detect failures and thereby correctly adjust the system’s behavior. In this article a method of system interdependence analysis is presented. The basic idea is to learn and quantitatively evaluate the coherence between performance indicators of different system components, as well as the influence of environmental parameters on the system. To validate the proposed approach, system interdependence analysis is applied to the navigation system of an autonomous mobile robot. Its navigational methods are presented and suitable indicators are derived. The results of using the method, based on experimental data from an extended field experiment, are given.
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Abroskin, A. S., N. A. Abroskina, and P. V. Petrov. "GROSS DOMESTIC PRODUCT: PROBLEMS OF CONSTRUCTION AND USE IN ANALYSIS OF SOCIO-ECONOMIC PROCESSES." Vestnik Universiteta, no. 9 (October 26, 2019): 98–105. http://dx.doi.org/10.26425/1816-4277-2019-9-98-105.
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The problematic aspects of the methodology for constructing gross domestic product indicator in macroeconomic statistics have been considered. Features of accounting for gross domestic product individual components in the System of National Accounts have been identified. Based on the analysis of international organizations recommendations, key aspects of improving the methodology for constructing this indicator taking into account the innovations in the System of National Accounts 2008 have been determined. Relevant issues of using gross domestic product in socio-economic analysis and supplements to the system of analytical indicators of the System of National Accounts with social indicators have been considered in the article.
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Deb, Gagari, and Kabir Chakraborty. "Gauss-Seidel Method based Voltage Security Analysis of Distribution System." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 1 (February 1, 2018): 43. http://dx.doi.org/10.11591/ijece.v8i1.pp43-51.
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Complexity of modern power network and Large disturbance results voltage collapse. So, voltage security analysis is important in power system. Indicators are helpful in voltage stability analysis, as they give information about the state of the system. In this paper a new indicator namely Distribution System Stability Indicator (DSSI) has been formulated using the information of Phasor Measurement Unit (PMU).The proposed indicator (DSSI) is tested on standard IEEE 33 bus radial distribution system. The suggested indicator is also applicable to the equivalent two bus system of a multi-bus power system. The proposed indicator is calculated for different contingent conditions at different system load configurations. The result of DSSI is verified with the standard indicator (VSI) which proves applicability of the proposed indicator. The bus voltages of all the buses at base loading and at maximum loading are evaluated for base data and for tripping of most critical line.
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Branza, Gratiela. "Sustainable maritime transportation system in European Union." Annals Constanta Maritime University 27, no. 2018 (2018): 115–18. http://dx.doi.org/10.38130/cmu.2067.100/42/20.
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The present paper outlines which are the possibilities to create a maritime transportation system which is sustainable and especially, the importance of performance indicators‟ analysis. Indicators can help identify problems, find solutions, analyze options, compare and evaluate an organization. Also, the paper presents a statistical overview of indicators analyzed from the viewpoint of European Union‟ sustainable development goals and the sustainable transport indicator set, considering the dimensions of sustainable development: economic, social and environmental. Solutions to achieve sustainable maritime transportation, such as environmental management systems and differentiate port infrastructure charges based on environmental criteria are described.
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Račickas, Evaldas, and Asta Vasiliauskaitė. "ANALYSIS OF FINANCIAL CRISIS CONTAGION INDICATORS." Science and Studies of Accounting and Finance: Problems and Perspectives 8, no. 1 (December 25, 2012): 197–206. http://dx.doi.org/10.15544/ssaf.2012.28.
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The financial crisis in the last decades has become a common phenomenon. However, due to the process of globalization, financial markets’ integration and their interdependency, financial crisis tend to evolve and gain not only regional but also global scale. In the context of financial market liberalization, globalization and internalization, the subsequences caused by financial risk and financial crises contagion become more visible and more severe. The financial crisis that originated in one region of the world through the rapid process of financial markets’ globalization may spread worldwide and adversely affect other geographical regions, thus causing serious problems and disruption throughout the whole global financial system in the way of destabilizing it. Although it is not easy to forecast crises with high reliability, recently a lot of scientific researches were done on the analysis of financial crisis indicators. Early warning system of forthcoming crisis that uses a lot of different economical and financial indicators can indeed be a useful tool for preparation for the coming financial crisis, for evaluating subsequences of crisis to a country’s economy and for assessing the impact of financial crisis future vulnerabilities. In the article all the financial crisis indicators which are presented in scientific literature are examined systemically and classified into four main groups. The main finding is that all the financial crisis indicators differ in their significance on financial crisis contagion. Moreover, all indicators and their observance simultaneously let both academics and politicians to evaluate the current economic situation and to determine if a country is struck by financial crisis or not. By using system of financial crisis indicators it could help to detect contagion at an earlier stage and help to prepare for the forthcoming crisis and to prevent from huge losses when the financial crisis hits. After all, the knowing of financial crisis contagion indicators system could be extremely valuable in developing appropriate financial risk management strategies.
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Hanuš, Ladislav. "Sustainability analysis of agricultural systems." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 52, no. 1 (2004): 103–12. http://dx.doi.org/10.11118/actaun200452010103.
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The main aim of this research is to propose an evaluation method as a tool for measurement of sustainable development in agriculture. The research has three parts: 1) indication, 2) evaluation and 3) application. Three aggregate and a group of partial indicators were selected for ecological, economic and social dimension of agricultural system. As the aggregate indicators were proposed: Material and Energy Costs, Operating Income and Personal Costs. Two evaluation methods for calculation of relative sustainability for group of farms were proposed: The Method of Comparison of Indicator Values and The Method of Comparison of Weighted Interval Sustainability. Each method was tested in static and dynamic variant with using of financial data of 30 farms in the CR. Proposed Index of Weighted Interval Sustainability is applicable in farm management and in agricultural policy with aim to redistribute subsidies.
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Averchenkov, A. V., E. E. Averchenkova, D. I. Goncharov, and K. Y. Pomogaeva. "APPLICATION OF MULTIFACTOR CORRELATION-REGIRESSION ANALYSIS FOR MODELING REGIONAL SOCIAL AND ECONOMIC SYSTEM IN THE INFORMATION ADVISORY SYSTEM." Proceedings of the Southwest State University 22, no. 1 (February 28, 2018): 101–11. http://dx.doi.org/10.21869/2223-1560-2018-22-1-101-111.
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The current state of modeling regional social and economic systems cannot still be defined as an effective tool for developing regional policies in the Russian Federation. The article provides an algorithm for modeling a regional social and economic system for the needs of the information advisory system being developed. The authors determined the functional significance of the mathematical modeling block of the regional social and economic system in the developed information advisory system; its interaction with other components of the program is described.The authors developed an algorithm that proves feasibility of applying the specific mathematical function to describe trends in the development of indicators for the forecast of the social and economic development of the RF region in the information advisory system being developed.The generated algorithm provides for the possibility of using single- or multifactor regression to form a mathematical dependence. It is shown that the result of mathematical modeling in the advisory system is the formation of a list of indicators assigned to the executive state government bodies or subdivisions of the regional government for which the information advisory system forms an assessment of the values оf indicators for the near future. Using the principle of materiality, the program forms recommendations regarding the need for management impact on the analyzed indicators. The article using the example of the Bryansk region presents the experience of using multiple regression for modeling values of the sample indicator of the development of the regional social and economic system "Investments in fixed assets". As initial data, the departmental expenditure structure of the Bryansk region for the departments of economic development and construction and architecture for 2011-2019 was used. In the program module Statistica, the corresponding regression equations were formed, and then the model was evaluated for reliability. The results of regression analysis for the estimated indicator are also given. The article provides the conclusion stating that the use of multifactor correlation-regression analysis for modeling a regional social and economic system based on the Bryansk region data makes it possible to expand the capabilities of the information advisory system being developed.
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Yasynska, Nadiia, Iryna Syrmamiikh, and Oksana Penez. "Monitoring the financial security of the Ukrainian banking sector in the context of system-deterministic challenges." Banks and Bank Systems 16, no. 2 (April 26, 2021): 12–26. http://dx.doi.org/10.21511/bbs.16(2).2021.02.
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The development of the financial market and the transformation of the banking sector create a need for diagnostics of its financial security. This study is aimed at determining the level of the Ukrainian banking sector financial security in the event of decapitalization of the national economy. The paper uses multicomponent and behavioral analysis methods. The empirical study is based on Ukrainian data for 37 indicators by three components (for multicomponent analysis) and 23 indicators (for behavioral analysis). The study presents an improved algorithm for monitoring the level of Ukrainian banking sector’s financial security based on the calculation of the integral indicator. Only the system of “Financial results” indicators as the most significant component has relative independence from the other two components (“Financial stability” and “Macroeconomic stability”). According to assessments, in 2008–2017 Ukrainian banking sector’s financial security was 0,485-0,539; and in 2018 it became 0,626. The behavioral analysis of the partial integral indicator of the “Financial stability” component with the withdrawn assets located in offshore jurisdictions revealed the causal relation of the negative impact of capital outflow on the financial stability of the banking sector. This study has a practical value for determining the level of the banking sector financial security.
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Watabe, Yuki, and Hiroshi Ota. "Developing a manageable system of internationalization indicators for universities in Asia." International Journal of Comparative Education and Development 23, no. 2 (April 29, 2021): 81–103. http://dx.doi.org/10.1108/ijced-11-2020-0081.
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PurposeThis study aims to construct a system of indicators for measuring the internationalization of universities allowing comparative self-assessment by universities in Asia.Design/methodology/approachTo achieve the aforementioned research purpose, the authors conducted three surveys and held an expert roundtable discussion. Two surveys were conducted, one in Japan and the other in Asia, to identify important indicators for measuring the internationalization of universities. Additionally, a survey of experts was conducted to identify effective indicators for benchmarking internationalization among universities in Asia. An analysis of each survey was examined during the roundtable discussion, and a system of internationalization indicators was constructed.FindingsThe three survey results showed similarities and differences between the relative importance accorded to 53 internationalization indicators by universities in Japan and in other Asian countries, as well as in the experts' perspectives on the effectiveness of each indicator for benchmarking. An analysis of those surveys resulted in 24 core internationalization indicators categorized into six key dimensions of university internationalization.Originality/valueThis study proposed a system of internationalization indicators based on an analysis of empirical research targeting universities in Asia. The resulting system reflects not only the opinions of academic experts but also the perspectives of its potential users, administrators in Asian universities. It consists of six internationalization dimensions with a manageable number of indicators, 24. These include both quantitative indicators and checklists of internationalization activities which can be used as quantitative or qualitative indicators.
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Kolodiziev, Oleh, Iryna Chmutova, and Vitaliy Lesik. "Use of causal analysis to improve the monitoring of the banking system stability." Banks and Bank Systems 13, no. 2 (June 20, 2018): 62–76. http://dx.doi.org/10.21511/bbs.13(2).2018.06.
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According to the stages of the banking system stability monitoring, the analysis of caus¬al links is used to identify the causes of the crisis trends spreading and the rationale for the most effective levers of regulatory influence on the banking system parameters by the central bank.The research is based on the use of the canonical correlation method for structuring causal links between the indicators for the assessment of the banking system stability, which are grouped into four sub-indices (assessing the intensity of credit and financial interaction in the interbank market, the effectiveness of the banking system functions, structural changes and financial disproportions in the banking system, activities of systemically important banks); the method of regression analysis and the calculation of elasticity coefficients is also used to assess the sensitivity of the banking system stability to changes in parameters that characterize the banking regulation instruments.The article analyzes the results of quantitative and qualitative assessment of the banking system stability (comparison of actual results of the evaluation with the data for previous years and comparison of values of stability indicators with critical values). The causes of detected deviations are determined taking into account the results of applying the canonical correlations method. Regression models have been constructed to confirm the dependence of the banking system stability index on the change in parameters that characterize banking regulation instruments, and to determine the most effective of them. Practical testing of submitted proposals is realized based on the Ukrainian banking system indicators for 2007–2016.
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Sozinova, Anastasia A., and Nadezhda K. Savelyeva. "The system of indicators for marketing monitoring the reorganization of business structures." Vestnik of North-Ossetian State University, no. 2(2020) (June 25, 2020): 127–37. http://dx.doi.org/10.29025/1994-7720-2020-2-127-137.
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The hypothesis of the study is that the new context of economic liberalization and globalization is characterized by rapid, profound and complex changes in the market environment in which business structures operate. Since, in today’s economic environment, market forces are becoming the main reason for the reorganization of entrepreneurial structures and the main indicator for assessing the advisability of restructuring entrepreneurial structures. The purpose of this article is to develop a system of marketing indicators for monitoring the reorganization of business structures and practical recommendations for the implementation of this system of indicators in the economic practice of economic systems. Statistical methods are used to identify the nature and nature of the development of marketing indicators and to determine whether there is a close relationship between marketing activities and the reorganization processes of the economic systems of modern Russia, trend and correlation analysis. Using these methods, the authors analyse the relationship between the intensity of reorganization processes and the competitiveness of the global economy, which are contained in the Russian Merger and Acquisition Market Review and the World Economic Forum. The study concluded that the research hypothesis was fully proven. Working on the basis of official dynamic statistical information on the example of modern Russia, it has been proved that the influence of marketing indicators on the processes of reorganization of business structures is strong. In addition, the feasibility of using an evaluation tool based on marketing indicators has been reviewed on a case-by-case basis. Business systems were selected for analysis and were reorganized in 2015. The proposed system of marketing monitoring indicators contributes to the development of the foundations of the modern marketing concept. Scientific value and novelty is represented by the developed author’s system of marketing indicators assessing the appropriateness of reorganization, as well as the results of comparative analysis of the results of the economic activity of restructured enterprises. The practical significance of the indicator system proposed by the authors lies in the establishment of an applied basis for assessing the appropriateness of reorganizing processes based on the evaluation of the marketing performance of business systems.
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Et. al., Akshay Kapoor,. "Disease Identification System using Image Analysis." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 1S (April 11, 2021): 115–23. http://dx.doi.org/10.17762/turcomat.v12i1s.1582.
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Artificial Intelligence (AI) and Sensor Technologies making a point-of-care delivery possible which was considered impossible. The human body shows early indicators of disease manifestation before actual clinical symptoms appear. These indicators can be picked up by analyzing the optical face image, which can be used for rapid and cost-effective screening of life-threatening health conditions. This article focuses on how health status can be tracked using optical image analytics. Early identification of disease plays a vital role in therapeutics of a patient. In accordance with review of secondary data available in literature, this article proposed a model to rapidly screen the health conditions at point-of-care. The patterns in the optical image have the potential to act as digital disease markers.
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Los, Vita, and Dmytro Ocheretin. "Construction of business confidence index based on a system of economic indicators." SHS Web of Conferences 65 (2019): 06003. http://dx.doi.org/10.1051/shsconf/20196506003.
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One of the important indicators that characterize the economy of the country is the business confidence index. It is the basis for tracking the cycles of economic dynamics and analysis of the country's business climate. Evaluation of this indicator makes it possible to predict the crisis phenomena that are occurring in the economy, and to develop possible ways out of difficult situations. On the example of the five countries (Ukraine, Germany, Hungary, Slovenia, Poland) it was also analyzed the possibility of constructing the business confidence index based on economic indicators, which characterize current economic activity of the country. For analysis, the quarterly values of economic indicators over the last years were taken. The selected economic indicators based on cross-correlation analysis were ranked into three groups: coincident, lagging and leading indicators. Using coincident and leading economic indicators, the several regression models of the business confidence index were built. On the basis of the obtained regression models, the forecast of business confidence index value for the next period is evaluated and the trends of its development are established.
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Матросова, Lidiya Matrosova, Семенов, and Evgeniy Semenov. "Prediction of road safety indicators based on statistical analysis." Central Russian Journal of Social Sciences 11, no. 3 (June 26, 2016): 55–60. http://dx.doi.org/10.12737/20384.
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The article examines the problems of organization of the comprehensive statistical analysis using automated information systems for processing information of traffic accidents. To solve the problems the Multiparameter information-analytical system (MIAS) of monitoring, analysis and prediction of the situation in the field of road safety was developed. The system allows to estimate thresholds of situation indicators in the field of road safety as a subject of operational and annual information by using methods of statistical analysis. It is used as an information-analytical support of making decisions in the traffic police departments.
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Fedyna, Svitlana M. "Forming the System of Sustainable Development Indicators for Biosocial Economy Assessment." Mechanism of an Economic Regulation, no. 4 (2020): 129–37. http://dx.doi.org/10.21272/mer.2019.86.13.
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The paper compares frequently used methods for sustainable development assessing. We studied the systems of sustainable development indicators for assessing its individual areas (in particular, economic, environmental and social), and also analyzed aggregate indices designed for a comprehensive assessment of development both at the macro level and at the level of specific individual territorial units. For each methodology, the structures of index systems were presented with their breakdown into spheres and blocks / categories, and the main disadvantages of each methodology were determined. Among the methodologies considered are the following: the methodology proposed by the Global Biopact, indicator systems from the OECD Green Growth Strategy and World Bank indicators. The work carried out a structural analysis and explored the content of aggregated indices: Social Progress Index, Environmental Efficiency Index, Global Climate Change Adaptation Index and Human Development Index. The listed systems of indicators and indices are used at the global level, their use for Ukraine needs to be adapted. The adaptation of such techniques to the Ukrainian realities was shown on the example of a system of indicators based on the goals of sustainable development. Each goal has a number of tasks, the implementation of which is necessary to achieve it. For each task, several indicators are proposed for assessing the level of their implementation, an analysis of these indicators showed that for Ukraine, metadata has not been defined for indicators for most of the goals. In the above methods, indicators for assessing the bioeconomic direction (with the exception of biodiversity) are almost not presented, therefore, the development of a model for assessing the biosocial economy requires the inclusion of indicators characterizing bioresources, biotechnologies, and bioenergy. Key words: index, indicator, sustainable development, biosocial economy, bioeconomics, biodiversity, sustainable development goals.
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Ahmad, Zuriyati, and Abdul Ghafar Ismail. "ALTERNATIVE OF MONETARY POLICY INDICATOR: PANEL DATA ANALYSIS FROM ISLAMIC BANKS IN MALAYSIA." Journal of Islamic Monetary Economics and Finance 4, no. 2 (February 9, 2019): 279–92. http://dx.doi.org/10.21098/jimf.v4i2.1017.
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The monetary policy indicators such as monetary aggregates, interest rates andMonetary Condition Index (MCI) are the traditional monetary policy indicatorsused in order to obtain early indication of the impact of monetary policy. Theseindicators could function as appropriate monetary policy indicators that will provideinformation to the monetary policy makers. The development in Islamic financialsystem however creates a challenge to find a monetary policy indicator, which is inconformity with Islamic teaching. Therefore, this paper is aimed to examine the futuregrowth of nominal GDP as an alternative variable for monetary policy indicator inIslamic monetary system. The investigation will benefit from data of 17 Islamic banksin Malaysia which implement full fledge or Islamic windows scheme spanning from2005 to 2010. GMM system method is used to analyze the data in hope to validatethe appropriateness of the alternative monetary policy indicator. The result suggeststhat the future growth of nominal GDP is significant as monetary policy indicator andcould be applied by the central bank in implementing the monetary policy especiallyin the dual banking system.Keywords: Monetary Policy; Monetary Policy Indicators; Bank Financing.JEL Classification: E52; E58; C33; G21.
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Huang, Jie, Tao Lin, Hong Ye, Guo Qin Zhang, and Jian Yi Lin. "A Theme-Based and Network Coupled Framework for Quantatitive Indicators Selection in Ecological Construction: A Case Study in Fujian, China." Advanced Materials Research 869-870 (December 2013): 726–31. http://dx.doi.org/10.4028/www.scientific.net/amr.869-870.726.
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It is important to build a scientific and effective indicator system for the assessment and management of regional ecological construction. A theme-based and network coupled framework provides a useful approach to solve some problems in establishing indicator systems, such as lack of systematic study on indicators connotation and non-transparent processes of indicators selection. Based on the ecological construction practice in Fujian province, China, this paper (1) analyzed the main challenges of the ecological construction,implementation and development processes, summarized the currently main themes for ecological construction, and built a theme-based indicators framework; (2) established indicators selection criteria matrix and alternative indicators matrix by using network analysis method; (3) built a multi-objective selection model considering the economic cost, social effect and ecological integrity by genetic algorithm to quantitatively select operational indicators of ecological construction. Our study will contribute to deeply understanding the connotation and improving the science and validity of the ecological indicators system for ecological construction assessment and management applications.
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Robertson, Michael, Andrew Bathgate, Andrew Moore, Roger Lawes, and Julianne Lilley. "Seeking simultaneous improvements in farm profit and natural resource indicators: a modelling analysis." Animal Production Science 49, no. 10 (2009): 826. http://dx.doi.org/10.1071/an09008.
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Natural resource indicators are used by catchment management organisations as targets for land use management. However, the nature of the trade-off function between natural resource management (NRM) outcomes and whole-farm profit is ill-defined, and varies between regions and according to the particular NRM indicator considered. Defining this function will assist catchment management organisations and farmers to evaluate the achievability of particular targets, and help determine the size of economic incentives required to offset any expected loss in farm profit associated with meeting targets. We addressed this issue by modelling representative farm businesses in two mixed farming regions (southern New South Wales and the central wheatbelt of Western Australia). The Agricultural Production Systems Simulator (APSIM) and GRAZPLAN farming systems models were linked and used to generate values of four NRM indicators (water leakage, nitrate leaching, groundcover and soil organic carbon change) for a wide range of crop–pasture rotations. The NRM indicator values were then incorporated into the Model of an Integrated Dryland System (MIDAS) whole-farm economic model to define the relationship with farm profit and farm cropping percentage. For some circumstances and indicators, the resulting trade-off functions were relatively flat; a wide range of enterprise mixes can lead to the same NRM outcomes but significant gains in the indicators may not be possible using current rotation options. For others, significant improvements could be achieved but at a substantial loss in whole-farm profit (through the selection of less profitable rotations). There were also examples where simultaneous gains in indicators and farm profit were possible. This analysis demonstrates an approach by which biophysical simulation models of the farming system can be linked to linear-programming representations of farming enterprises, and provides a method for deriving relationships between NRM targets and economic performance.
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Timchev, Marko. "ACCOUNTING BUSINESS ANALYSIS IN A BALANCED INDICATOR SYSTEM." Knowledge International Journal 34, no. 5 (October 4, 2019): 1295–300. http://dx.doi.org/10.35120/kij34051295t.
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The article proposes models for improving the scientometry, methodology and organization of accounting business analysis of the enterprise. Accounting business analysis is a specialized function of management, science and business metrics. Proposals have been made for improving the business accounting analysis in horizontal (scheduling), vertical (points of responsibility) and integral aspects. Methodological problems of information capacity, individual dynamics and models for the analysis of the key indicators characterizing the activity, financial stability and competitiveness of the enterprise are investigated.The article presents D. Norton and R. Kaplan's "Balanced Scorecard Analysis" system, incorporating financial and non-financial indicators from four baseline perspectives. The balanced scorecard is open to be upgraded and modified according to the specifics and features of the business organisation. The Balanced Scorecard model provides opportunities for a complex business and accounting analysis of the entities.. The possibilities for integrating the accounting business analysis of the enterprise into a balanced scorecard were explored. A concentric “Accounting Business Analysis in a Balanced Scorecard” model with market positioning (SWOT), Z-Score Analysis and competitiveness analysis are presented.This article explores the problems of providing accounting business analysis information in a balanced scorecard through accounting and integrated reporting systems. Models of strategic maps with KPI indicators are presented, characterizing the activity at a corporate and intercompany level and by functional points of responsibility.
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Chmelíková, Gabriela. "Basis of economic analysis of Czech firms." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 58, no. 3 (2010): 79–84. http://dx.doi.org/10.11118/actaun201058030079.
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When looking for connections between particular business’s activities, theory of financial management uses pyramidal system of indicators. The effectiveness of this tool is based on the appropriate choice of the top indicator. Its decomposition enables to manage firm’s processes from the bottommost organizational levels to the main firm’s mission with respect to the connections between particular processes. The aim of this paper was to identify appropriate indicator, which corresponds with creation of firm’s value and design its decomposition. To measure creation of firm’s value it is nowadays very popular to use indicator Economic Value Added (EVA). Though from the theoretical point of view EVA is seen as a superior performance metric, the results of some empirical studies do not support this claim. That is why the information content of EVA was controlled in the concrete conditions of Czech Economy within this article. The results showed eligibility of using EVA in Czech firms and enabled to choose it as the top indicator in the pyramidal system. Ambition of further research is to design a complex of indicators offering a comprehensive economic view on the firm’s performance.
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Bo, Shi, and Li Yanming. "Establishment on Evaluation Indicator System for Power System Simulation Software." Open Electrical & Electronic Engineering Journal 8, no. 1 (December 31, 2014): 372–78. http://dx.doi.org/10.2174/1874129001408010372.
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Computer simulation has become an important means of data processing, calculation analysis, online debugging, closed loop control, fault diagnosis, condition forecasting in power system. In order to solve the problem that there is a lot of power simulation software and users of the software have difficulty in choosing the evaluation index system, this paper studies evaluation indicator system of simulation software based on analytic hierarchy process and provides support for software selection. Firstly, analyzed and summarized the structure of evaluation index system model which consists of 8 indexes, and the indexes were described; Then, create a mathematical model to calculate the weights, including judgment matrix, hierarchical ordering, consistency inspection process; Finally, calculate the evaluation index weigh according to the steps in mathematical model. The results show that posterior simulation function, software maintainability, eigenvalue analysis function, power flow calculation accuracy, these indicators have bigger impact on the power system simulation software, when selecting software these indicators should be considered. The content of this paper is the foundation of system evaluation , and it plays an important role in promoting the informatization level of power system.
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Bakulich, Olena, Olena Musatenko, and Evgeniy Samoylenko. "Analysis of the efficiency indicators of cargo delivery distribution system." Technology audit and production reserves 3, no. 2(29) (May 26, 2016): 40. http://dx.doi.org/10.15587/2312-8372.2016.71550.
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Bezrukova, Tatyana, Aleksey Bezrukov, Yuliya Saraginskaya, and Aliya Bazieva. "The correlation analysis of interrelation of indicators of economic system." Актуальные направления научных исследований XXI века: теория и практика 3, no. 7 (December 10, 2015): 134–37. http://dx.doi.org/10.12737/14820.
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Constantin, Secăreanu, Gruiescu Mihaela, and Morega Dan. "Statistical Indicators-evaluation and Analysis Tools the European Statistical System." Procedia - Social and Behavioral Sciences 109 (January 2014): 1152–57. http://dx.doi.org/10.1016/j.sbspro.2013.12.603.
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Odeh, Saad. "Analysis of the Performance Indicators of the PV Power System." Journal of Power and Energy Engineering 06, no. 06 (2018): 59–75. http://dx.doi.org/10.4236/jpee.2018.66005.
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WU, FAN, JIUNN RONG LIN, and WEN-CHEN TSAI. "Decision Support System for the Analysis of Hospital Operation Indicators." Annals of the New York Academy of Sciences 980, no. 1 (December 2002): 298–305. http://dx.doi.org/10.1111/j.1749-6632.2002.tb04906.x.
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Vasilieva, V. V., O. A. Loginov, N. N. Rozhkov, and E. V. Shikhova. "System analysis of the structure of quality indicators skating jumpsuits." Izvestiya vysshikh uchebnykh zavedenii Tekhnologiya legkoi promyshlennosti 51, no. 1 (2021): 56–59. http://dx.doi.org/10.46418/0021-3489_2021_51_01_10.
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Limowa Lie, Ronald, Murtiyanto Santoso, Felix Pasila, Raymond Sutjiadi, and Resmana Lim. "The Development of Prediction Indicators on Currency Market Using Neuro-Fuzzy Method." E3S Web of Conferences 188 (2020): 00021. http://dx.doi.org/10.1051/e3sconf/202018800021.
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A technical indicator is an analysis instruments to help traders analyzing forex price movements through charts. Prediction indicators are artificial technical indicators that can help traders to analyse forex price movements in the future. This prediction information becomes one of the bases in making trading decisions. This project aims to develop prediction indicators on MetaTrader that can provide information on forex price predictions using Neuro-Fuzzy method. The Neuro-Fuzzy System requires input parameters in the system prediction process obtained from the system training process. These parameters can be through or without optimization process. The prediction indicator will also make trading decisions based on prediction indicators analysis, RSI, and Stochastic. Finally, the information on trading decisions will be displayed on Facebook pages. The prediction indicator testing run well on a trading system. Prediction indicators with parameters before optimization were well used in the H4 EURUSD pair (data 2012) with a predicted profit of USD 16 499. While the prediction indicators with parameters after optimization were well used in the H1 EURUSD pair with a predicted profit of USD 21 945. The information on trading decisions were also successfully displayed on Facebook pages.
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Klychova, Guzaliya, Alsou Zakirova, Gamlet Ostaev, Vyacheslav Sokolov, and Elena Nekrasova. "Corporate finance in the system of economic analysis management and intensification." E3S Web of Conferences 273 (2021): 10037. http://dx.doi.org/10.1051/e3sconf/202127310037.
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The study of the issues of assessing the indicators of efficiency and intensification of finance in the activities of corporations operating in modern economic conditions is necessary and relevant. The research was conducted in order to identify a group of financial and economic indicators for assessing the financial efficiency of the corporation. In the course of the research a toolkit was developed, which is a group of indicators that allow corporations to analyze financial and economic activity in generalized and detailed forms. When selecting the resulting and factor indicators of efficiency and intensification, the author's position was based on taking into account the current economic situation, namely, the multiprofile activities of corporations (within and outside the state borders) and the high proportion of borrowed capital for business processes in the core and non-core types of entrepreneurship. The objects of the study in generalized and detailed forms were direct and indirect profitability. They refer to the resulting indicators of efficiency, calculated by comparing the profit and consumed capital. The formed indicators fully correspond to the modern economic situation and the economic nature of the categories of «efficiency» and «intensification». With their use it is possible to calculate the dependence not only between the resultant and factor indicators, but also to analyze the interaction of the factor indicators themselves. These factor indicators meet all the economic postulates and are fully adapted to the generally recognized economic requirements, in particular, financial and economic and financial management. The proposed approach will help to maximize the financial benefits through an objective analysis of the effectiveness and intensification of economic operations.
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Tu, Jui-Che, and Chi-Ling Hu. "Applying the Fuzzy Analytic Hierarchy Process to Construct the Product Innovative Service System of Wedding Photography Apparel." Mathematical Problems in Engineering 2015 (2015): 1–12. http://dx.doi.org/10.1155/2015/171204.
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This study aimed to investigate the indicators of the wedding photography apparel product system in order to construct the wedding photography apparel product system indicators and analyze the hieratical weights of the wedding photography apparel product system indicators. By using the Delphi method and the fuzzy analytic hierarchy process, this study constructed the questionnaire for wedding photography apparel product system indicator weights. This study used the mean and standard deviation to learn about the distribution of opinions of the experts and scholars. According to the findings of this study, for the fuzzy weight analysis results of the wedding photography apparel product system indicators, the most important indicators are the product-service indicators. Moreover, for the product-service indicators, the wedding apparel package service is the most important. For the information platform indicator, the wedding apparel style opinion platform is the most important. For the maintenance and recycling indicators, the wedding apparel second-hand auction/donation is the most important. For the sales market indicators, the wedding apparel store sales/rental is the most important. The main purpose of the indicators of the wedding photography apparel product system constructed in this study is to propose detailed items and connotations to provide a substantial reference and basis of business strategic indicators for the wedding photography enterprises.