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1
Wang, Jun, Xun Dou, Shizhen Wang, Zhen Wang, and Longzhang Zhao. "Integrated Energy Purchase-Sale Decision Making and Scheduling for Integrated Energy Service Provider Considering User Grading Dynamic Combination." E3S Web of Conferences 160 (2020): 02001. http://dx.doi.org/10.1051/e3sconf/202016002001.
Повний текст джерелаАнотація:
In an open energy market environment, energy retail competition is intensifying. integrated energy service provider (IEPS) with the right to operate regional integrated energy system. Under the requirement of distributed resource transaction access and scheduling security, how to integrate multi-level and multi-type user resources to participate in market operation, allocate resources within the region under its jurisdiction and improve the income of energy purchase and sale is the key for IESP to gain a favourable position in the market competition. Based on the operation framework of IESP including user grading and dynamic combination platform, integrate real-time dynamic combination of user resources into optimal scheduling, aiming at the operating economy of IEPS, an integrated energy purchase-sale decision making and scheduling method for IEPS considering user grading dynamic combination is proposed. Finally, an example is given to analysis through the regional integrated energy system with electric-gas-heat coupling. The results show that by reasonably combining users and scheduling distributed energy and adjustable load. The IESP can ensure the stable operation of the regional energy system, integrate and utilize decentralized resources to participate in the market, and maximize the economic benefits of energy purchase and sale.
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Holmberg, J., K. Hukki, L. Norros, U. Pulkkinen, and P. Pyy. "An integrated approach to human reliability analysis — decision analytic dynamic reliability model." Reliability Engineering & System Safety 65, no. 3 (September 1999): 239–50. http://dx.doi.org/10.1016/s0951-8320(99)00003-4.
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Shrivastava, Pooja, M. K. Verma, Meena Murmu, and Ishtiyaq Ahmad. "Multi Criteria Decision Analysis (MCDA) Framework for the Integrated Urban Water System." International Journal of Engineering & Technology 7, no. 3.6 (July 4, 2018): 290. http://dx.doi.org/10.14419/ijet.v7i3.6.15070.
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Over the past century urban water system of developed and developing cities are under increasing stress as water dearth. The estimation of possible solutions for water management in megacities requires the spatially distributed dynamic and grid-based replication of the evolution of public water infrastructure under consideration of changes (e.g. climate, global, environment, economy, and land-use). These simulations can be realized with the help of frameworks for integrated urban water system. The MCDA framework for integrated approaches of urban water system is characterized as single system (COMBINED SEWER SYSTEM) and entire system (WATER DISTRIBUTION, SEWER NETWORK etc.) investigation with consideration of decentralized system and spatial-temporal interactions and the dynamic feedback of population models to water infrastructure. Urban water system needs the frame work which will meet the sustainable needs of future. The present work identifies the best solutions for existing problems in urban water infrastructure while making interaction with stakeholders to reach sustainable framework for urban water management in this water dearth regions. This framework will provide new knowledge of sustainable integration system between the social and environmental issues.
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Cerreta, M., and P. De Toro. "Urbanization suitability maps: a dynamic spatial decision support system for sustainable land use." Earth System Dynamics 3, no. 2 (November 20, 2012): 157–71. http://dx.doi.org/10.5194/esd-3-157-2012.
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Abstract. Recent developments in land consumption assessment identify the need to implement integrated evaluation approaches, with particular attention to the development of multidimensional tools for guiding and managing sustainable land use. Land use policy decisions are implemented mostly through spatial planning and its related zoning. This involves trade-offs between many sectorial interests and conflicting challenges seeking win-win solutions. In order to identify a decision-making process for land use allocation, this paper proposes a methodological approach for developing a Dynamic Spatial Decision Support System (DSDSS), denominated Integrated Spatial Assessment (ISA), supported by Geographical Information Systems (GIS) combined with the Analytic Hierarchy Process (AHP). Through empirical investigation in an operative case study, an integrated evaluation approach implemented in a DSDSS helps produce "urbanization suitability maps" in which spatial analysis combined with multi-criteria evaluation methods proved to be useful for both facing the main issues relating to land consumption as well as minimizing environmental impacts of spatial planning.
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Cerreta, M., and P. De Toro. "Urbanization susceptibility maps: a dynamic spatial decision support system for sustainable land use." Earth System Dynamics Discussions 3, no. 2 (October 4, 2012): 1159–90. http://dx.doi.org/10.5194/esdd-3-1159-2012.
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Abstract. Recent developments in land consumption assessment identify the need to implement integrated evaluative approaches, with particular attention to the identification of multidimensional tools for guiding and managing sustainable land use. Policy decisions defining land use are mostly implemented through spatial planning and related zoning, and this involves trade-offs between many sectoral interests and conflicting challenges aimed at win-win solutions. In order to identify a decision-making process for land use allocation, the paper proposes a methodological approach for a Dynamic Spatial Decision Support System (DSDSS), named Integrated Spatial Assessment (ISA), supported by Geographical Information Systems (GIS) combined with Analytic Hierarchy Process (AHP). Through the empirical investigation in an operative case study, an integrated evaluative approach implemented in a DSDSS helps to elaborate "urbanization susceptibility maps", where spatial analysis combined with a multi-criteria method proved to be useful for facing the main issues related to land consumption and minimizing environmental impacts of spatial planning.
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Patten, Scott B., and Robert C. Lee. "Towards a dynamic description of major depression epidemiology." Epidemiologia e Psichiatria Sociale 13, no. 1 (March 2004): 21–28. http://dx.doi.org/10.1017/s1121189x00003201.
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SummaryAims – The substantial impact of major depression on population health is widely acknowledged. To date, health system responses to this condition have been largely shaped by observational findings. In the future, health policy decisions will benefit from an increasingly integrated and dynamic understanding of the epidemiology of this condition. Policy decisions can also be supported by the development of decision-support tools that can simulate the impact of alternative policy decisions on population health. Markov models are useful both in epidemiological modelling and in decision analysis. Methods – In this project, a Markov model describing major depression epidemiology was developed. The model employed a Markov Tunnel in order to depict the dependence of recovery probabilities on episode duration. Transition probabilities, including incidence, recovery and mortality were estimated from Canadian national survey data. Results – Episode incidence was approximately 3% per year. Recovery rates declined exponentially over time. The model predicted point prevalence at slightly less than 1%, agreeing closely with observed prevalence data. Conclusions – Epidemiological models describing the dynamic relationships between major depression incidence, prevalence, recovery and mortality can help to integrate available epidemiological data. Such models offer an attractive option for support of health policy decisions.Declaration of InterestAcknowledgement: Both authors are Research Fellows with the Institute of Health Economics (www.ihe.ab.ca). This study was supported by an operating grant from the Canadian Institutes of Health Research (www.cihr.ca).
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Leng, Yan, Qing Li, Yan Jiao Liang, Nai Hui Zhou, and Chun Ge Kou. "Multi-Criteria Decision Analysis: Beijing South Railway Station." Applied Mechanics and Materials 193-194 (August 2012): 876–81. http://dx.doi.org/10.4028/www.scientific.net/amm.193-194.876.
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Beijing South Railway Station is an integrated system, the evaluation of which should involve not only the inner transfer condition, but also the connection in the road network. To make a more comprehensive and scientific evaluation of the station, we select various criteria, including not only the static indicators, but also the dynamic indicators. Then we build a three-level hierarchy index structure to evaluate the performance of the inner and outside performance of Beijing South Railway Station. For the inner part, we apply Extension Theory to for evaluation. Then we use VISSIM to simulate the condition of the station in the road network.
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Lowe, Stephen P., and James N. Stanard. "An Integrated Dynamic Financial Analysis and Decision Support System for a Property Catastrophe Reinsurer." ASTIN Bulletin 27, no. 2 (November 1997): 339–71. http://dx.doi.org/10.2143/ast.27.2.542056.
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AbstractThis paper describes the dynamic financial analysis model currently being used by a property catastrophe reinsurer to manage its business. The model is-an integral part of the day-to-day operations at the Company, and is used as a decision making tool in the underwriting, investment, and capital management processes. The paper begins by describing the framework that the Company uses for risk management. This includes a classification of the risks facing the Company, which is used to define and prioritize their implementation in the model. Also included is a description of the conceptual approach the Company takes to evaluate the tradeoff between risk and return. The paper then goes on to describe the structure and operation of the dynamic financial analysis model and provides examples of its use at the Company, along with illustrative examples of the various types of output it produces.
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Pagel, Kymberleigh A., Rick Kim, Kyle Moad, Ben Busby, Lily Zheng, Collin Tokheim, Michael Ryan, and Rachel Karchin. "Integrated Informatics Analysis of Cancer-Related Variants." JCO Clinical Cancer Informatics, no. 4 (September 2020): 310–17. http://dx.doi.org/10.1200/cci.19.00132.
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PURPOSE The modern researcher is confronted with hundreds of published methods to interpret genetic variants. There are databases of genes and variants, phenotype-genotype relationships, algorithms that score and rank genes, and in silico variant effect prediction tools. Because variant prioritization is a multifactorial problem, a welcome development in the field has been the emergence of decision support frameworks, which make it easier to integrate multiple resources in an interactive environment. Current decision support frameworks are typically limited by closed proprietary architectures, access to a restricted set of tools, lack of customizability, Web dependencies that expose protected data, or limited scalability. METHODS We present the Open Custom Ranked Analysis of Variants Toolkit 1 (OpenCRAVAT) a new open-source, scalable decision support system for variant and gene prioritization. We have designed the resource catalog to be open and modular to maximize community and developer involvement, and as a result, the catalog is being actively developed and growing every month. Resources made available via the store are well suited for analysis of cancer, as well as Mendelian and complex diseases. RESULTS OpenCRAVAT offers both command-line utility and dynamic graphical user interface, allowing users to install with a single command, easily download tools from an extensive resource catalog, create customized pipelines, and explore results in a richly detailed viewing environment. We present several case studies to illustrate the design of custom workflows to prioritize genes and variants. CONCLUSION OpenCRAVAT is distinguished from similar tools by its capabilities to access and integrate an unprecedented amount of diverse data resources and computational prediction methods, which span germline, somatic, common, rare, coding, and noncoding variants.
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Chen, Jim Q. "A New Dynamic Cyber Defense Framework." International Journal of Cyber Warfare and Terrorism 7, no. 4 (October 2017): 14–22. http://dx.doi.org/10.4018/ijcwt.2017100102.
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Current approaches in cyber defense are flawed as they are fortress-based and generally static in nature. They are not flexible in dealing with variations of attacks, especially zero-day attacks. To address this issue, researchers have looked into dynamic cyber defense. However, the available approaches are either only about high-level strategies or only about specific tactics. There is no integrated approach that brings both levels together in a systematic way. This research article intends to address this challenge by proposing a new dynamic cyber defense framework that is systematic and cohesive, and that integrates strategic, operational, and tactical levels. It improves the research in dynamic cyber defense by employing game-changing elements such as a contextual analysis system and an intelligent decision-making system.
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Liu, Ming Qiong, Hui Ying Gao, and Chun Yan Zhao. "Research on Flood Integrated Risk Dynamic Management Framework for Coastal Cities." Applied Mechanics and Materials 501-504 (January 2014): 2138–41. http://dx.doi.org/10.4028/www.scientific.net/amm.501-504.2138.
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From the point of flood integrated risk analysis and risk dynamic management, analysis and discussion the reason of flood disasters occur frequently. Flood risk management is divided into six types: flood risk, flood control project risk, flood investment risk, flood plain risk, flood eco-environment risk and flood control decision risk management. Furthermore, a risk assessment model was established, and this paper puts forward four targets of flood risk management, eventually forming flood risk management flow, which provides a framework for flood integrated risk analysis and risk management.
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Nara, Atsushi, Xianfeng Yang, Sahar Ghanipoor Machiani, and Ming-Hsiang Tsou. "An integrated evacuation decision support system framework with social perception analysis and dynamic population estimation." International Journal of Disaster Risk Reduction 25 (October 2017): 190–201. http://dx.doi.org/10.1016/j.ijdrr.2017.09.020.
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Lee, M. T., and Y. C. Chang. "Strategic analysis for sustainable urban river aquatic environment using the system dynamic approach." Water Science and Technology 53, no. 1 (January 1, 2006): 17–24. http://dx.doi.org/10.2166/wst.2006.003.
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A sustainable aquatic environment, which relates to the issues of pollution mitigation and ecological restoration, is one of the important indicators of the vitality and prosperity of a city. Traditionally, resort to engineering efforts is always the first priority in dealing with such problems. Nevertheless, treated as an integrated system, the nature of the problem should involve many aspects including economic, ecological, environmental, and engineering factors. Meanwhile, the special feature of the time-dependent state has also made such a system a dynamic and complex problem. The current research has employed the concepts of integrated assessment trying to aggregate related studies and tackling the problem as a complete system. With the aid of the system dynamic modeling tool, which is capable of dealing with dynamic and complex problems, the simulation model was formulated following the macrostructure of system behavior. Various strategies for improving the sustainability of the aquatic environment in Love River, Kaohsiung, Taiwan have been evaluated. The decision makers are therefore allowed to choose more effective strategies based on the integrated perspectives.
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Assumma, Vanessa, Marta Bottero, Giulia Datola, Elena De Angelis, and Roberto Monaco. "Dynamic Models for Exploring the Resilience in Territorial Scenarios." Sustainability 12, no. 1 (December 18, 2019): 3. http://dx.doi.org/10.3390/su12010003.
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The present paper focuses on the role covered by dynamic models as support for the decision-making process in the evaluation of policies and actions for increasing the resilience of cities and territories. In recent decades, urban resilience has been recognized as a dynamic and multidimensional phenomenon that characterizes urban and metropolitan area dynamics. Therefore, it may be considered a fundamental aspect of urban and territorial planning. The employment of quantitative methods, such as dynamic models, is useful for the prediction of the dynamic behavior of territories and of their resilience. The present work discusses the system dynamics model and the Lotka–Volterra cooperative systems and shows how these models can aid technicians in resilience assessment and also decision makers in the definition of policies and actions, especially if integrated in wide evaluation frameworks for urban resilience achievements. This paper aims to provide an epistemological perspective of the application of dynamic models in resilience assessment, underlying the possible contribution to this issue through the analysis of a real case study and methodological framework. The main objective of this work is to lay the basis for future compared applications of these two models to the same case study.
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Bali, Ozkan, Metin Dagdeviren, and Serkan Gumus. "An integrated dynamic intuitionistic fuzzy MADM approach for personnel promotion problem." Kybernetes 44, no. 10 (November 2, 2015): 1422–36. http://dx.doi.org/10.1108/k-07-2014-0142.
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Purpose – One of the key success factors for an organization is the promotion of qualified personnel for vacant positions. Especially, the promotion of middle and senior managers play an important role in terms of organization’s success. In personnel promotion problem in which the candidates are nominated within the organization and they have been working for a specific period of time and are known in their organization, the candidates should be evaluated based on their recent as well as past performances to make right selection for the vacant position. For this reason, the purpose of this paper is to propose an integrated dynamic multi-attribute decision-making (MADM) model based on intuitionistic fuzzy set for solving personnel promotion problem. Design/methodology/approach – The proposed model integrates analytic hierarchy process (AHP) technique and the dynamic evaluation by intuitionistic fuzzy operator for personnel promotion. AHP is employed to determine the weight of attributes based on decision maker’s opinions, and the dynamic operator is utilized to aggregate evaluations of candidates for different years. Atanassov’s intuitionistic fuzzy set theory is utilized to represent uncertainty and vagueness in MADM process. Findings – A numerical example is presented to show the applicability of the proposed method for personnel promotion problem and a sensitivity analysis is conducted to demonstrate efficiency of dynamic evaluation. The findings indicate that the varying weights of years employed determined the best candidate for promotion. Originality/value – The novelty of this study is defining personnel promotion as a MADM problem in the literature for the first time and proposing an integrated dynamic intuitionistic fuzzy MADM approach for the solution, in which the candidates are evaluated at different years.
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Petronijević, Jelena, Milica Petrović, Najdan Vuković, Marko Mitić, Bojan Babić, and Zoran Miljković. "Integrated Process Planning and Scheduling Using Multi-Agent Methodology." Applied Mechanics and Materials 834 (April 2016): 193–98. http://dx.doi.org/10.4028/www.scientific.net/amm.834.193.
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Market growth and mass customization cause a need for a change in traditional manufacturing. Decentralized decision making and integration of process planning is necessary in order to become concurrent in the market. The paper presents decentralized decision making methodology using multi-agent systems. The model is used for integrated process planning and scheduling based on the minimum processing time under dynamic change of the environment. Two types of disturbance are used to represent the change: part arrival and machine breakdown. The proposed model comprises part agent, job agent, machine agent and optimization agent. Comparative analysis is conducted using simulation in AnyLogic software in order to verify the proposed approach.
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Fazlollahtabar, Hamed, and Minoo Talebi Ashoori. "Business Analytics using Dynamic Pricing based on Customer Entry-Exit Rates Tradeoff." Statistics, Optimization & Information Computing 8, no. 1 (February 18, 2020): 272–80. http://dx.doi.org/10.19139/soic-2310-5070-551.
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This paper concerns with an integrated business process to be applied as a decision support for market analysis and decision making. The proposed business intelligence and analytics system makes use of an extract, transform and load mechanism for data collection and purification. As a mathematical decision optimization, dynamic pricing is formulated based on customer entry-exit rates in a history-based pricing model. The optimal prices for products are obtained so that aggregated profit is maximized. A case study is reported to show the effectiveness of the approach. Also, analytical investigations on the impacts of the sensitive parameters of the pricing model are given.
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Bojórquez-Tapia, Luis A., Marco Janssen, Hallie Eakin, Andres Baeza, Fidel Serrano-Candela, Paola Gómez-Priego, and Yosune Miquelajauregui. "Spatially-explicit simulation of two-way coupling of complex socio-environmental systems: Socio-hydrological risk and decision making in Mexico City." Socio-Environmental Systems Modelling 1 (May 14, 2019): 16129. http://dx.doi.org/10.18174/sesmo.2019a16129.
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We present here MEGADAPT (MEGAcity-ADAPTation), a hybrid, dynamic, spatially-explicit, integrated modeling approach to simulate the vulnerability of urban coupled socio-environmental systems – in our case, the vulnerability of Mexico City to socio-hydrological risk. Although vulnerability is widely understood to be influenced by human decision-making, these decisions are rarely captured as endogenous to dynamic vulnerability models. The objective of this paper is to use MEGADAPT to demonstrate a methodological approach that allows vulnerability to be simulated as a reflexive process: the result of the interplay between mental models held by influential actors and the response of the biophysical and social world to the realization of decisions based on these mental models. MEGADAPT represents Mexico City as a self-organizing system. Hence, its computational framework involves the implementation of a suite of system models, geographic information system-multicriteria decision analysis, and geosimulation. A novel contribution of this approach is the use of the Analytic Network Process to synthesize the dynamic feedback between mental models and conditions of geographic automata. In this way, MEGADAPT depicts the shift in the behavior of socio-environmental systems from one-way coupling/single-loop learning to two-way coupling/double-loop learning, with the decision-making process as an endogenous system driver.
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Elsawah, Sondoss, Darius Danesh, and Michael Ryan. "A strategic asset planning decision analysis: An integrated System Dynamics and multi‐criteria decision‐making method." INCOSE International Symposium 29, no. 1 (July 2019): 788–802. http://dx.doi.org/10.1002/j.2334-5837.2019.00635.x.
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Guclu, Orhan Ertugrul, and Cem Cetek. "Analysis of aircraft ground traffic flow and gate utilisation using a hybrid dynamic gate and taxiway assignment algorithm." Aeronautical Journal 121, no. 1240 (April 10, 2017): 721–45. http://dx.doi.org/10.1017/aer.2017.20.
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ABSTRACTThe rapid increase in the demand for air transportation over the last four decades has led to serious capacity problems for both the airside and landside components of major airports. The efficient management of existing airside resources seems to be the most effective and practical approach to overcome these capacity and traffic flow problems. Although integrated management of aircraft parking position assignments and ground movement planning processes are vital for the effective use of resources and for efficient operations, the current practice is that these processes are handled separately by different agents. This study proposes a hybrid dynamic system, an integrated methodology of taxi path and gate assignment using a knowledge-based decision-making approach to model effectively time-variant and realistic operational features of aircraft gate management and route planning. The model assigns the most suitable parking positions with minimum taxi time and taxi delay among a reduced solution set, satisfying pre-defined decision criteria as well as monitoring ground movements and, if necessary, reassigning new taxi paths and parking positions in real time. Both the proposed integrated methodology and the separate gate assignment and ground management operations currently in use were implemented, analysed and compared in a fast-time simulation model of Istanbul Ataturk Airport (LTBA). The hybrid dynamic assignment model provided significant improvements in taxi times, ground delays and gate utilisation.
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Varshney, Ayush, Arshad H. Khan, M. Yaqoob Yasin, Zahid A. Khan, and Mohammad Asjad. "On the optimal dynamic design of laminated composite folded plates: a multi-criteria decision analysis." Multidiscipline Modeling in Materials and Structures 16, no. 2 (October 4, 2019): 322–39. http://dx.doi.org/10.1108/mmms-06-2019-0116.
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Purpose The purpose of this paper is to present the multi-objective optimization of the dynamic response of isotropic and laminated composite folded plates. The dynamic analysis has been carried out using the finite element method based on the first-order shear deformation theory. Design/methodology/approach Hamilton’s principle has been employed for the derivation of the governing equations. Natural frequencies are obtained using the eigenvalue extraction method. The optimal combination of the crank angle, lamination scheme and boundary conditions on the natural frequencies of folded plates for their safe and optimal dynamic design has been obtained. The analysis has been carried out using finite element approach based on FSDT to obtain the dynamic equation of single- and double-fold laminated plates. In total, 15 experiments as per Taguchi’s standard L15 orthogonal array have been performed. Further, standard deviation (SD) based TOPSIS method is used to perform multi-response optimization of folded plates in order to rank the combination of the input parameters. Findings SD integrated with TOPSIS reveals that Experiment No. 8 (crank angle=90° and anti-symmetric lamination scheme=0°/90°/0°/90°), Experiment No. 14 (crank angle=150° and anti-symmetric lamination scheme=0o/90o/0o/90o), Experiment No. 2 (crank angle=30° and anti-symmetric lamination scheme=0°/90°/0°/90°) and Experiment No. 3 (crank angle=30° and symmetric lamination scheme=0°/90°/0°/90°) occupy rank 1 for one fold, one end clamped, one fold, two ends clamped, two folds, one end clamped and two folds, two ends clamped conditions, respectively, in order to maximize the modal response corresponding to the fundamental mode. Originality/value SD-based technique for order of preference by similarity to ideal solution (TOPSIS) method is used to rank the process parameters. The optimum combination of the input parameters on the multi-response optimization of dynamics of the folded plates has also been evaluated using the analysis of mean (ANOM).
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Seyoum, Kassahun (Kassa). "Dynamic Comprehensive Strategic Planning: Integrated Land Development, Public Facility Capacity Planning, and Capital Budgeting Decision Analysis Framework." Leadership and Management in Engineering 9, no. 1 (January 2009): 26–31. http://dx.doi.org/10.1061/(asce)1532-6748(2009)9:1(26).
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Nikabadi, Mohsen Shafiei, and Hossein Fallah Moghaddam. "An integrated approach of adaptive neuro-fuzzy inference system and dynamic data envelopment analysis for supplier selection." International Journal of Mathematics in Operational Research 18, no. 4 (2021): 503. http://dx.doi.org/10.1504/ijmor.2021.114206.
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N.A., Mohsen Shafiei Nikabadi. "An Integrated Approach of Adaptive Neuro-Fuzzy Inference System and Dynamic Data Envelopment Analysis for Supplier Selection." International Journal of Mathematics in Operational Research 1, no. 1 (2020): 1. http://dx.doi.org/10.1504/ijmor.2020.10032437.
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Thura, David, Jean-François Cabana, Albert Feghaly, and Paul Cisek. "Integrated neural dynamics of sensorimotor decisions and actions." PLOS Biology 20, no. 12 (December 15, 2022): e3001861. http://dx.doi.org/10.1371/journal.pbio.3001861.
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Recent theoretical models suggest that deciding about actions and executing them are not implemented by completely distinct neural mechanisms but are instead two modes of an integrated dynamical system. Here, we investigate this proposal by examining how neural activity unfolds during a dynamic decision-making task within the high-dimensional space defined by the activity of cells in monkey dorsal premotor (PMd), primary motor (M1), and dorsolateral prefrontal cortex (dlPFC) as well as the external and internal segments of the globus pallidus (GPe, GPi). Dimensionality reduction shows that the four strongest components of neural activity are functionally interpretable, reflecting a state transition between deliberation and commitment, the transformation of sensory evidence into a choice, and the baseline and slope of the rising urgency to decide. Analysis of the contribution of each population to these components shows meaningful differences between regions but no distinct clusters within each region, consistent with an integrated dynamical system. During deliberation, cortical activity unfolds on a two-dimensional “decision manifold” defined by sensory evidence and urgency and falls off this manifold at the moment of commitment into a choice-dependent trajectory leading to movement initiation. The structure of the manifold varies between regions: In PMd, it is curved; in M1, it is nearly perfectly flat; and in dlPFC, it is almost entirely confined to the sensory evidence dimension. In contrast, pallidal activity during deliberation is primarily defined by urgency. We suggest that these findings reveal the distinct functional contributions of different brain regions to an integrated dynamical system governing action selection and execution.
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Rialti, Riccardo, Giacomo Marzi, Cristiano Ciappei, and Donatella Busso. "Big data and dynamic capabilities: a bibliometric analysis and systematic literature review." Management Decision 57, no. 8 (September 12, 2019): 2052–68. http://dx.doi.org/10.1108/md-07-2018-0821.
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Purpose Recently, several manuscripts about the effects of big data on organizations used dynamic capabilities as their main theoretical approach. However, these manuscripts still lack systematization. Consequently, the purpose of this paper is to systematize the literature on big data and dynamic capabilities. Design/methodology/approach A bibliometric analysis was performed on 170 manuscripts extracted from the Clarivate Analytics Web of Science Core Collection database. The bibliometric analysis was integrated with a literature review. Findings The bibliometric analysis revealed four clusters of papers on big data and dynamic capabilities: big data and supply chain management, knowledge management, decision making, business process management and big data analytics. The systematic literature review helped to clarify each clusters’ content. Originality/value To the authors’ best knowledge, minimal attention has been paid to systematizing the literature on big data and dynamic capabilities.
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Lee, Daniel T. "An Overview of Intelligent Decision Systems." Journal of Information Technology 4, no. 3 (September 1989): 123–35. http://dx.doi.org/10.1177/026839628900400302.
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System integration has been the goal for both academicians and practitioners for more than two decades. Tremendous efforts have been made toward the achievement of a unifying theory or at least a framework in system integration. Unfortunately, the goal has not been achieved because of the dynamic nature of the subject. The purpose of this paper is to conduct a systematic analysis of the related subjects in system integration and to develop a framework which can be used to guide researchers and practitioners in system integration development. Traditional data modelling techniques and knowledge representation methodologies will be reviewed first. Major emphasis will be placed on object-oriented system integration and hybrid knowledge representation methods for developing an integrated intelligent decision system for next generation decision making.
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Lee, Shenae, Gabriele Landucci, Genserik Reniers, and Nicola Paltrinieri. "Validation of Dynamic Risk Analysis Supporting Integrated Operations Across Systems." Sustainability 11, no. 23 (November 28, 2019): 6745. http://dx.doi.org/10.3390/su11236745.
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Dynamic risk analysis (DRA) is a novel industrial approach that aims to capture changes in operational conditions over time and quantify their effect on risk. This aspect may be advantageous for providing insight into the causal factors that have substantial risk contributions and supporting decisions related to risk control. Some DRA methods were developed by the oil and gas industry to support the integration of work processes and the cooperation across virtual clusters, e.g., between offshore and onshore systems and/or oil company and supplier. However, DRA has not been extensively adopted and limited attention is given to its validity in practical applications. The objective of this article is to illustrate how this validity can be established based on common validation approaches for risk analysis. The case study focuses on a DRA method named risk barometer that was developed to support integrated operations across the oil and gas industrial systems. The outcome of this study may serve as a basis for the validation of other DRA methods, the use of DRA in practical cases, and ultimately the achievement of integrated operations (IO) capabilities.
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Schiozer, Denis José, Antonio Alberto de Souza dos Santos, Susana Margarida de Graça Santos, and João Carlos von Hohendorff Filho. "Model-based decision analysis applied to petroleum field development and management." Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles 74 (2019): 46. http://dx.doi.org/10.2516/ogst/2019019.
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This work describes a new methodology for integrated decision analysis in the development and management of petroleum fields considering reservoir simulation, risk analysis, history matching, uncertainty reduction, representative models, and production strategy selection under uncertainty. Based on the concept of closed-loop reservoir management, we establish 12 steps to assist engineers in model updating and production optimization under uncertainty. The methodology is applied to UNISIM-I-D, a benchmark case based on the Namorado field in the Campos Basin, Brazil. The results show that the method is suitable for use in practical applications of complex reservoirs in different field stages (development and management). First, uncertainty is characterized in detail and then scenarios are generated using an efficient sampling technique, which reduces the number of evaluations and is suitable for use with numerical reservoir simulation. We then perform multi-objective history-matching procedures, integrating static data (geostatistical realizations generated using reservoir information) and dynamic data (well production and pressure) to reduce uncertainty and thus provide a set of matched models for production forecasts. We select a small set of Representative Models (RMs) for decision risk analysis, integrating reservoir, economic and other uncertainties to base decisions on risk-return techniques. We optimize the production strategies for (1) each individual RM to obtain different specialized solutions for field development and (2) all RMs simultaneously in a probabilistic procedure to obtain a robust strategy. While the second approach ensures the best performance under uncertainty, the first provides valuable insights for the expected value of information and flexibility analyses. Finally, we integrate reservoir and production systems to ensure realistic production forecasts. This methodology uses reservoir simulations, not proxy models, to reliably predict field performance. The proposed methodology is efficient, easy-to-use and compatible with real-time operations, even in complex cases where the computational time is restrictive.
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Gréhaigne, J. F., and P. Godbout. "Opposition and dynamics at the core of game-play analysis in soccer." International Journal of Physical Education 58, no. 3 (2021): 10–20. http://dx.doi.org/10.5771/2747-6073-2021-3-10.
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This paper examines the theory of dynamic systems and its use in the domains of the study and analysis of team sports. The two teams involved in a match are looked at as two interacting systems in movement, where opposition is paramount. Several key elements for the observation of game play are studied. The notions of game-play configuration and elasticity are important but are not purely mechanical since players make decisions that may disturb the contraction / expansion of the attack / defense system. Sometimes, the match gets disturbed due to some unexpected situation, to an inadvertent decision that relates to the notion of urgency. Emergent phenomena are unpredictable, even unexplained phenomena that shape into regularities, relational structures or even original entities. These various concepts, along with elements of movement in play, are integrated in models intended to help players and observers grasp a systemic view of action play.
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SAHA, SUBRATA, and MANJUSRI BASU. "INTEGRATED DYNAMIC PRICING FOR SEASONAL PRODUCTS WITH PRICE AND TIME DEPENDENT DEMAND." Asia-Pacific Journal of Operational Research 27, no. 03 (June 2010): 393–410. http://dx.doi.org/10.1142/s0217595910002764.
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In this paper, an inventory model for deteriorating items with ramp-type time and price dependent consumption rate over a finite planning horizon is considered. In contrast to the traditional deterministic inventory model with static price over the entire planning horizon or fixed number of price changes over the finite time horizon, an alternative model is derived in which prices and the number of price change are to be decision variables. We show that the total profit function is concave. With the concavity, a solution procedure is presented to determine optimal prices, optimal number of pricing cycles and optimal lot size and optimal profit. We illustrate the model with numerical examples. Sensitivity analysis of the model is also carried out.
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Costanza, Robert. "William D. Nordhaus Managing the Commons: The Economics of Climate Change, Cambridge, MA, The MIT Press, 1994, ISBN 0-262-140551-1." Environment and Development Economics 1, no. 3 (July 1996): 381–84. http://dx.doi.org/10.1017/s1355770x00000735.
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William Nordhaus has gone further than any economist to date at building a dynamic integrated model of the world’s climate and economic systems, with some one-way linkages to agricultural systems and ecosystems. Managing the Commons is an admirably readable description of this effort which, in his words, ‘balances the costs of emissions controls in energy policies and other areas against the impacts to agriculture, coastlines, and ecosystem values’. In addition to a detailed description of the Dynamic Integrated Climate and the Economy (DICE) model and several scenarios produced by the model, the book includes large sections on sensitivity analysis of the model’s parameter uncertainty and an analysis of the value of information gained at various times in the future to the decision process.
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Martin, Erik W., Alicja Pacholewska, Heta Patel, Himanshu Dashora та Myong-Hee Sung. "Integrative analysis suggests cell type–specific decoding of NF-κB dynamics". Science Signaling 13, № 620 (25 лютого 2020): eaax7195. http://dx.doi.org/10.1126/scisignal.aax7195.
Повний текст джерелаАнотація:
The complex signaling dynamics of transcription factors can encode both qualitative and quantitative information about the extracellular environment, which increases the information transfer capacity and potentially supports accurate cellular decision-making. An important question is how these signaling dynamics patterns are translated into functionally appropriate gene regulation programs. To address this question for transcription factors of the nuclear factor κB (NF-κB) family, we profiled the single-cell dynamics of two major NF-κB subunits, RelA and c-Rel, induced by a panel of pathogen-derived stimuli in immune and nonimmune cellular contexts. Diverse NF-κB–activating ligands produced different patterns of RelA and c-Rel signaling dynamic features, such as variations in duration or time-integrated activity. Analysis of nascent transcripts delineated putative direct targets of NF-κB as compared to genes controlled by other transcriptional and posttranscriptional mechanisms and showed that the transcription of more than half of the induced genes was tightly linked to specific dynamic features of NF-κB signaling. Fibroblast and macrophage cell lines shared a cluster of such “NF-κB dynamics–decoding” genes, as well as cell type–specific decoding genes. Dissecting the subunit specificity of dynamics-decoding genes suggested that target genes were most often linked to both RelA and c-Rel or to RelA alone. Thus, our analysis reveals the cell type–specific interpretation of pathogenic information through the signaling dynamics of NF-κB.
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Фасхутдинова, Milyausha Faskhutdinova, Садриева, and Elvira Sadrieva. "FEATURES OF THE ANALYSIS FOR MANAGEMENT DECISION MAKING." Vestnik of Kazan State Agrarian University 10, no. 3 (September 15, 2015): 30–34. http://dx.doi.org/10.12737/14749.
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This article discusses the essence of the analysis, required for management decision-making in the enterprise. Management analysis is the observation of the dynamics of the internal and external changes, that will respond quickly to changing external and internal factors and adjust the irrelevant goals and strategies, forecast the situation for the future. On the one hand, the management analysis can be a type of economic analysis and, on the other hand, it can be integrated with management accounting and is designed to provide the information needs of administration in the analytical information for management decision-making. The The statement, organization and content of the information of management accounting and analysis is individual for each enterprise, unlike financial accounting and financial analysis.
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Ongkowijoyo, Citra S., Hemanta Doloi, and Anthony Mills. "Participatory-based risk impact propagation and interaction pattern analysis using social network analysis." International Journal of Disaster Resilience in the Built Environment 10, no. 5 (November 11, 2019): 363–78. http://dx.doi.org/10.1108/ijdrbe-06-2017-0041.
Повний текст джерелаАнотація:
Purpose This paper aims to develop a novel risk analysis model that uses both participatory and computerized techniques to capture and model the dynamic of risk impact propagation and interaction pattern. Design/methodology/approach In this research, an integrated model, applying modified participatory method and novel dichotomize procedure in the perspectives of social network topological analysis, is developed. Findings Based on the analysis output, it is found that; (i) the risk propagation is characterized by its dynamic and non-linear impact pattern, and (ii) the risk interaction is distinguished based on the degree of connectedness between various risks. Research limitations/implications This research assumes that the risk impact propagation and interaction pattern within the risk network are static. Further research is required to analyze the risk network in dynamic circumstances. Practical implications This research contributes in delivering practical tools that could potentially provide a further path for developing mitigation strategy and policies that seek to address the complexity of risk phenomena, and thus enhance community resilience. Social implications This research reveals some underlying patterns of how the risk impact propagation and interaction pattern are structured. Thus, it can help decision-makers make formal arrangements of particular urban infrastructure (UI) governance visible toward building risk plan and mitigation strategies. Originality/value This research contributes to filling the risk management knowledge gap. It is suggested that analyzing risk using a network approach is suited to capture the intricate processes that shape the complexity of UI risk structural network. By validating the model, this research shows the applicability and capability of the model to improve both the RA accuracy and decision making effectiveness towards risk mitigation plan and strategy.
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Yazdani, Morteza, Prasenjit Chatterjee, Dragan Pamucar, and Manuel Doval Abad. "A risk-based integrated decision-making model for green supplier selection." Kybernetes 49, no. 4 (May 31, 2019): 1229–52. http://dx.doi.org/10.1108/k-09-2018-0509.
Повний текст джерелаАнотація:
Purpose Supply chain (SC) environment is surrounded by risk variables. This issue is regarded as an emerging and strategic problem which must be resolved by SC executives. The ability to measuring green supplier’s performance and affecting risk variables to demonstrating effective suppliers list has a potential contribution to be investigated. This paper aims to develop a decision-making model to assess green suppliers under legislation and risk factors. This leads to fewer disruptions in managing the SC and its impact to further improvement. It also presents research concepts forming a new approach for identification, prediction and understating relationship of supply risk. Design/methodology/approach At primal stage, different risk factors that influence green suppliers’ performance are indicated and their relationship is analyzed using decision-making trial and evaluation laboratory (DEMATEL) method. At the same time, failure mode and effect analysis is used to determine risk rating of each supplier. Finally, the evaluation based on distance from average solution (EDAS) method ranks suppliers and several comparisons and analysis are performed to test the stability of the results. The approaches include comparison to technique for order performance by similarity to ideal solution, multi-attributive border approximation area comparison, Vlse Kriterijumska Optimizacija I Kompromisno Resenje and complex proportional assessment methods, followed by analysis of rank reversal, weight sensitivity analysis and effect of dynamic metrics. Findings A real-time case study on green supplier selection (GSS) problem of a reputed construction company of Spain has been presented to demonstrate the practical aspects of the proposed method. In practice, though organizations are aware of various risks from local and global suppliers, it is difficult to incorporate these risk factors for ranking the suppliers. This real-case application shows the evaluation and incorporation of risk factors into the supplier selection model. Practical implications The proposed multi-criteria decision model quantitatively aids managers in selecting green suppliers considering risk factors. Originality/value A new model has been developed to present a sound mathematical model for solving GSS problems which considers the interaction between the supplier selection risk factors by proposing an integrated analytical approach for selecting green suppliers strategically consisting of DEMATEL, FMEA and EDAS methods.
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Santos Santos, Tania F., and Luis A. Camacho. "An Integrated Water Quality Model to Support Multiscale Decisions in a Highly Altered Catchment." Water 14, no. 3 (January 26, 2022): 374. http://dx.doi.org/10.3390/w14030374.
Повний текст джерелаАнотація:
Decision-making in highly altered catchments occurs at different temporal and spatial scales, requiring integration of various datasets and models. This paper introduces two of the components of an environmental multiscale decision support system (EMDSS) for highly altered catchments, designed to make decisions at different time scales. First, an integrated dynamic flow and water quality model is proposed to analyze the river system, including wastewater discharges and water intakes. This integrated model is capable of representing unsteady flow conditions, allowing analysis at different time scales. Second, three postprocessing tools are presented to support short- (hours to days), medium- (days to months), and long- (years to decades) term operational, management, and planning decisions. The water quality component of the model can represent conventional and toxic determinands to simultaneously analyze domestic and industrial pollution throughout a river system. The first postprocessing tool of the EMDSS is useful in defining concentration limits for wastewater discharges for different water users downstream. The second tool allows the assessment of river water quantity and quality to determine water availability for intake extensions and medium-term wastewater flow augmentation. The third makes it possible to simulate and perform effective operational reservoir releases to improve water quality in the river during short-term pollution incidents. The proposed integrated model and postprocessing tools are applied in the upper Bogotá River stretch in Colombia, one of the most altered catchments and polluted rivers in the world. The results obtained illustrate the utility of the proposed EMDSS for river management and decision making regarding water quality at different time scales.
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Fonnesbeck, Christopher J., Katriona Shea, Spencer Carran, Jose Cassio de Moraes, Christopher Gregory, James L. Goodson, and Matthew J. Ferrari. "Measles outbreak response decision-making under uncertainty: a retrospective analysis." Journal of The Royal Society Interface 15, no. 140 (March 2018): 20170575. http://dx.doi.org/10.1098/rsif.2017.0575.
Повний текст джерелаАнотація:
Resurgent outbreaks of vaccine-preventable diseases that have previously been controlled or eliminated have been observed in many settings. Reactive vaccination campaigns may successfully control outbreaks but must necessarily be implemented in the face of considerable uncertainty. Real-time surveillance may provide critical information about at-risk population and optimal vaccination targets, but may itself be limited by the specificity of disease confirmation. We propose an integrated modelling approach that synthesizes historical demographic and vaccination data with real-time outbreak surveillance via a dynamic transmission model and an age-specific disease confirmation model. We apply this framework to data from the 1996–1997 measles outbreak in São Paulo, Brazil. To simulate the information available to decision-makers, we truncated the surveillance data to what would have been available at 1 or 2 months prior to the realized interventions. We use the model, fitted to real-time observations, to evaluate the likelihood that candidate age-targeted interventions could control the outbreak. Using only data available prior to the interventions, we estimate that a significant excess of susceptible adults would prevent child-targeted campaigns from controlling the outbreak and that failing to account for age-specific confirmation rates would underestimate the importance of adult-targeted vaccination.
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Li, Pu, Bing Chen, Shichun Zou, Zhenhua Lu, and Zekun Zhang. "DSS-OSM: An Integrated Decision Support System for Offshore Oil Spill Management." Water 14, no. 1 (December 22, 2021): 20. http://dx.doi.org/10.3390/w14010020.
Повний текст джерелаАнотація:
The marine ecosystem, human health and social economy are always severely impacted once an offshore oil spill event has occurred. Thus, the management of oil spills is of importance but is difficult due to constraints from a number of dynamic and interactive processes under uncertain conditions. An integrated decision support system is significantly helpful for offshore oil spill management, but it is yet to be developed. Therefore, this study aims at developing an integrated decision support system for supporting offshore oil spill management (DSS-OSM). The DSS-OSM was developed with the integration of a Monte Carlo simulation, artificial neural network and simulation-optimization coupling approach to provide timely and effective decision support to offshore oil spill vulnerability analysis, response technology screening and response devices/equipment allocation. In addition, the uncertainties and their interactions were also analyzed throughout the modeling of the DSS-OSM. Finally, an offshore oil spill management case study was conducted on the south coast of Newfoundland, Canada, demonstrating the feasibility of the developed DSS-OSM.
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Agyapong-Kodua, K., R. H. Weston, and S. Ratchev. "The Integrated Use of Enterprise and System Dynamics Modelling Techniques in Support of Business Decisions." Advances in Decision Sciences 2012 (July 5, 2012): 1–25. http://dx.doi.org/10.1155/2012/804324.
Повний текст джерелаАнотація:
Enterprise modelling techniques support business process (re)engineering by capturing existing processes and based on perceived outputs, support the design of future process models capable of meeting enterprise requirements. System dynamics modelling tools on the other hand are used extensively for policy analysis and modelling aspects of dynamics which impact on businesses. In this paper, the use of enterprise and system dynamics modelling techniques has been integrated to facilitate qualitative and quantitative reasoning about the structures and behaviours of processes and resource systems used by a Manufacturing Enterprise during the production of composite bearings. The case study testing reported has led to the specification of a new modelling methodology for analysing and managing dynamics and complexities in production systems. This methodology is based on a systematic transformation process, which synergises the use of a selection of public domain enterprise modelling, causal loop and continuous simulation modelling techniques. The success of the modelling process defined relies on the creation of useful CIMOSA process models which are then converted to causal loops. The causal loop models are then structured and translated to equivalent dynamic simulation models using the proprietary continuous simulation modelling tool iThink.
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Demidovskij, Alexander, and Eduard Babkin. "Integrated neurosymbolic decision support systems: problems and opportunities." Business Informatics 15, no. 3 (September 30, 2021): 7–23. http://dx.doi.org/10.17323/2587-814x.2021.3.7.23.
Повний текст джерелаАнотація:
The current problem of developing new kinds of decision support systems for different categories of management personnel is addressed in this study. A critical feature of such systems is their distributed and decentralized nature, which enables the construction of next-generation information systems in the form of Multi-Agent Systems, Internet of Things, or Fog Computing Architectures. Parallel models of the dynamics of artificial neural networks are produced under such realistic circumstances, demonstrating their potential for addressing a variety of issues. The purpose of this study is to conduct a critical analysis of the problem of integrating Artificial Neural Networks with decision support systems using a corpus of relevant scholarly literature. To tackle this question, the Design Science Research methodology was considered. According to this methodology, a literary search strategy was established, scientific literature was collected and analyzed, and key comparisons between different solutions were emphasized. The study resulted in the presentation of the most important findings, outstanding issues, and potential areas of fundamental and applied solutions. A consistent trend toward the development of decision support systems based on integrated neural-network methods has been observed, which is efficient and cost-effective since it enables the creation of distributed and trainable decision support systems.
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Tzortzi, J. N., A. Doulamis, I. Rallis, M. S. Lux, G. Barbotti, and I. Tzortzis. "HARMONIA: strategy of an integrated resilience assessment platform (IRAP) with available tools and geospatial services." IOP Conference Series: Earth and Environmental Science 1122, no. 1 (December 1, 2022): 012020. http://dx.doi.org/10.1088/1755-1315/1122/1/012020.
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Abstract The huge amount of the available data nowadays has raised some major challenges which are related to the storage, fusion, structure, streaming and processing of these data. In this paper, we present the development of a holistic framework, entitled HARMONIA, that encompasses State-of-The-Art solutions for the emerging issues related to Climate Change, natural and/or man-made hazards and urban/peri-urban risks. The Horizon 2020 HARMONIA project is developing an Integrated Resilience Assessment Platform (IRAP) which plans to provide targeted services for different groups of end-users. In particular, it will actively support urban decision-makers in strategic decisions and planning and citizens in facing daily effects and risks of Climate Change. Additionally, the platform will be a place to interconnect cities which end up facing similar Climate Change effects. HARMONIA IRAP leverages cuttingedge technologies (i.e., explainable Artificial Intelligence, Data Mining, multi-criteria analysis, dynamic programming) and services (ie., Virtual Machines, Containers) in order to provide solutions considering the complexity and diversity of extreme earth and non-earth data. In addition, this platform includes a Decision Support System providing early-warning feedback and recommendations to the end-users. In this way the HARMONIA IRAP design tends to address these challenges by offering the corresponding dynamic, scalable and robust mechanisms with the aim to provide useful integrated tools for the related users. Datacubes architecture, which is a major part of the IRAP, offers the opportunity to investigate more sophisticated correlations among the data and provide a more tangible representation of the extracted information.
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Meuer, Johannes, and Christian Rupietta. "Integrating QCA and HLM for Multilevel Research on Organizational Configurations." Organizational Research Methods 20, no. 2 (September 20, 2016): 324–42. http://dx.doi.org/10.1177/1094428116665465.
Повний текст джерелаАнотація:
Mixed methods systematically combine multiple research approaches—either in basic parallel, sequential, or conversion designs or in more complex multilevel or integrated designs. Multilevel mixed designs are among the most valuable and dynamic. Yet current multilevel designs, which are rare in the mixed methods literature, do not strongly integrate qualitative and quantitative approaches for use in one study. This lack of integration is particularly problematic for research in the organization sciences because of the variety of multilevel concepts that researchers study. In this article, we develop a multilevel mixed methods technique that integrates qualitative comparative analysis (QCA) with hierarchical linear modeling (HLM). This technique is among the first of the multilevel ones to integrate qualitative and quantitative methods in a single research design. Using Miles and Snow’s typology of generic strategies as an example of organizational configurations, we both illustrate how researchers may apply this technique and provide recommendations for its application and potential extensions. Our technique offers new opportunities for bridging macro and micro inquiries by developing strong inferences for testing, refining, and extending multilevel theories of organizational configurations.
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Alamanos, Angelos, Alec Rolston, and George Papaioannou. "Development of a Decision Support System for Sustainable Environmental Management and Stakeholder Engagement." Hydrology 8, no. 1 (March 4, 2021): 40. http://dx.doi.org/10.3390/hydrology8010040.
Повний текст джерелаАнотація:
Undertaking integrated and sustainable water resources management (ISWRM) and providing socially acceptable solutions with scientifically solid bases is a dynamic and challenging process. Two basic pillars–umbrellas can be identified in the literature: stakeholder engagement and analysis; and integrated monitoring–modelling in the form of a decision support system (DSS) that can assess, evaluate and rank the management options. This study presents a framework that can be used as a good-practice example of successful stakeholder engagement (public engagement and collaboration with local communities towards shared visions) and an integrated DSS for ISWRM (including characterisation at catchment and local scales, programmes of measures and their evaluation): the Framework for Integrated Land and Landscape Management (FILLM), developed by an Irish multi-disciplinary and multi-stakeholder platform, the Water Forum. The fundamental theoretical principles and practical aspects of the FILLM are analysed. A step-by-step guide is proposed for its application, bridging the above pillars, using examples, reviewing methods and software, and analysing challenges and trends. It can help both socio-economic and environmental scientists (modellers) understand each other’s roles and find reviews of useful tools and methods for their work. This work can be a reference point for future ISWRM and environment management and can contribute to holistic education on such topics.
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Goar, Vishal Kumar, and Nagendra Singh Yadav. "Business Decision Making by Big Data Analytics." International Journal on Recent and Innovation Trends in Computing and Communication 10, no. 5 (May 31, 2022): 22–35. http://dx.doi.org/10.17762/ijritcc.v10i5.5550.
Повний текст джерелаАнотація:
Information is the key component towards success when it comes to controlling the decision-makers performance with the quality of a decision. In the modern era, an absolute amount of data is available to organizations for analysis usage. Data is the most important component of the business in the 21st century and a significant number of devices are already equipped with the internet. Based on this the solutions should be studied in order to control and capture the knowledge value pair out of the datasets. Following this, the decision-makers should have access to insightful and valuable data based on the dynamic high volume & velocity using big data analytics. Our research focuses on how to integrate big data analytics into the decision-making process. The B-DAD (big data analytics and decision) framework was created to map the big data tools, its architecture, and analytics for the several decision-making steps by the adoption of methodology based on design science. The ideal goal and offerings of the framework are adopting big data analytics in order to intensify & aid decision making for the organization using an integration of big data analytics into the corresponding decision-making process. Thus, the experiment was carried out in the retail domain to test the framework. As an end result, the results showcased the value-added if big data analytics is integrated with corresponding decision-making activity.
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Wan, Jie, and Sundar Krishnamurty. "Learning-Based Preference Modeling in Engineering Design Decision-Making." Journal of Mechanical Design 123, no. 2 (October 1, 1999): 191–98. http://dx.doi.org/10.1115/1.1361061.
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Focusing on the efforts towards a consistent preference representation in decision based engineering design, this paper presents a learning-based comparison and preference modeling process. Through effective integration of a deductive reasoning-based on designer’s outcome ranking in a lottery questions-based elicitation process, this work offers a reliable framework for formulating utility functions that reflect designer’s priorities accurately and consistently. It is expected that this integrated approach will reduce designer’s cognitive burden, and lead to accurate and consistent preference representation. Salient features of this approach include a linear programming based dynamic preference learning method and a logical analysis of preference inconsistencies. The development of this method and its utilization in engineering design are presented in the context of a mechanism design problem and the results are discussed.
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Biswas, Sanjib, Dragan Pamucar, Samarjit Kar, and Shib Sankar Sana. "A New Integrated FUCOM–CODAS Framework with Fermatean Fuzzy Information for Multi-Criteria Group Decision-Making." Symmetry 13, no. 12 (December 15, 2021): 2430. http://dx.doi.org/10.3390/sym13122430.
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Smartphones have become an inevitable part of every facet of modern society. The selection of a particular smartphone brand from multiple options that are available is a complex and dynamic decision-making problem, involving multiple conflicting criteria that are associated with imprecise asymmetric information imposed by the uncertainty of the consumers. In this paper, we propose a novel hybrid full consistency method (FUCOM) and a combinative distance based assessment (CODAS) based on the multi-criteria group decision-making (MAGDM) framework in the Fermatean fuzzy (FF) domain for smartphone brand selection. We derive the criteria using the UTAUT2 (unified theory of acceptance and ese of technology) model. A group of 15 decision makers (DMs) participated in our study. We compare 14 leading smartphone brands in India and find that the brands having superior features of a good quality and selling a brand image at a affordable price outperform other smartphones. To check the validity of our framework, we compare the results using extant multi-criteria decision-making (MCDM) models. We observe our model provides a consistent solution. Furthermore, we carry out a sensitivity analysis for ascertaining the robustness and stability of the results generated by our model. The results of the sensitivity analysis show that our proposed framework delivers a stable and robust solution.
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Zou, Zhi Wen, Li Qiang Zhang, and Ji Ming Chen. "A Fuzzy Comprehensive Assessment System for Agricultural Soil Pollution Based on GIS." Advanced Materials Research 356-360 (October 2011): 1618–21. http://dx.doi.org/10.4028/www.scientific.net/amr.356-360.1618.
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Aiming at the necessary of the research about agricultural soil pollution, fully integrated real monitoring results of agricultural soil pollution, combined with the theory of fuzzy mathematical analysis and geographic information systems technology, the main purpose of the fuzzy comprehensive assessment system is to reveal the formation, dynamic changes of agricultural soil pollution and the movement of pollution, providing effective management decision for agricultural soil pollution prevention and planning management.
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Ma, Xiaoyue, Xue Pengzhen, Nada Matta, and Qiang Chen. "Fine-Grained Ontology Reconstruction for Crisis Knowledge Based on Integrated Analysis of Temporal-Spatial Factors." KNOWLEDGE ORGANIZATION 48, no. 1 (2021): 24–41. http://dx.doi.org/10.5771/0943-7444-2021-1-24.
Повний текст джерелаАнотація:
Previous studies on crisis knowledge organization mostly focused on the categorization of crisis knowledge without regarding its dynamic trend and temporal-spatial features. In order to emphasize the dynamic factors of crisis collaboration, a fine-grained crisis knowledge model is proposed by integrating temporal-spatial analysis based on ontology, which is one of the commonly used methods for knowledge organization. The reconstruction of ontology-based crisis knowledge will be implemented through three steps: analyzing temporal-spatial features of crisis knowledge, reconstructing crisis knowledge ontology, and verifying the temporal-spatial ontology. In the process of ontology reconstruction, the main classes and properties of the domain will be identified by investigating the crisis information resources. Meanwhile the fine-grained crisis ontology will be achieved at the level of characteristic representation of crisis knowledge including temporal relationship, spatial relationship, and semantic relationship. Finally, we conducted case addition and system implementation to verify our crisis knowledge model. This ontology-based knowledge organization method theoretically optimizes the static organizational structure of crisis knowledge, improving the flexibility of knowledge organization and efficiency of emergency response. In practice, the proposed fine-grained ontology is supposed to be more in line with the real situation of emergency collaboration and management. Moreover, it will also provide the knowledge base for decision-making during rescue process.
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Cai, Zipan, Bo Wang, Cong Cong, and Vladimir Cvetkovic. "Spatial dynamic modelling for urban scenario planning: A case study of Nanjing, China." Environment and Planning B: Urban Analytics and City Science 47, no. 8 (June 25, 2020): 1380–96. http://dx.doi.org/10.1177/2399808320934818.
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Although urban scenario planning is widely applied for exploring various directions of urban development, it often has high requirements on the medium of quantitative information analysis and transformation. Thus, this study establishes a method of combining scenario planning with a spatial dynamic planning support system to predict urban growth. Specifically, a scenario-based spatial dynamic modelling method is integrated with the information module of planning policy for better decision support. The integrated modelling method is applied for an actual urban land use planning case of Nanjing, an evolving city in China. The spatial forms of future urban land use are simulated under four different pre-set policy scenarios. The differences in simulated results under multi-criteria restrictions reveal the effectiveness and practical value of the integration approach. The findings of this study provide policymakers with a process-based approach to test and evaluate ‘what-if’ consequences and help stakeholders reach consensus.