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Journal articles on the topic 'Multi-criteria analysi'

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Published: 14 March 2023

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1

Śladowski, Grzegorz. "Selected cases of modeling and structural analysis of decision problems in the construction sector." Przegląd Budowlany 94, no. 1-2 (February 26, 2023): 98–102. http://dx.doi.org/10.5604/01.3001.0016.2710.

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This paper notes the important aspect of the modelingand structural analysi of problems in decision making. Againstclassical multi-criteria decision-making support methods,the presented approach considers different co-dependent externaland internal relations between criteria and decision alternatives,which is significant from the standpoint of the reality we aimto model. Essential structural modeling and analysis methodswere presented, and the entire discussion was backed by samplesof decision problems from the construction sector

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Ionita, Craisor-Constantin. "NATO’s Strategic Interest in Africa - a Possible Multi-Criteria Analysis." Vojenské rozhledy 31, no. 3 (September 13, 2022): 23–40. http://dx.doi.org/10.3849/2336-2995.31.2022.03.023-040.

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The paper demonstrates that the Multi-Criteria Analysis (MCA) is one very useful analytical tool and method to help Allied political decision makers and military strategists to rethink the Alliance’s new role and mission in Africa, as the Southern neighbour of NATO and the EU having great possibilities to influence, either positively or negatively, the European and Euro-Atlantic security. Thus, the paper’s scope is to use MCA in order to highlight the importance of Africa for NATO’s Geopolitics and what Member States should undertake in order to join the competitive North African and Sahel region’s arms and presence race against the increased Russian and Chinese economic and military interests.

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Siroky, J., J. Krajcova, and J. Hakalova. "The taxation of agricultural land with the use of multi-criteria analysis." Agricultural Economics (Zemědělská ekonomika) 62, No. 5 (May 27, 2016): 197–204. http://dx.doi.org/10.17221/183/2015-agricecon.

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The issue of land taxation is currently often neglected in scientific articles despite the existence of the land taxation and property taxes in most countries of the European Union. This paper deals with a specific property tax in the Czech Republic – the tax on the acquisition of immovable property. The aim of the paper is, on the one hand, to characterise the tax on the acquisition of immovable property, its general principles and the classification in land taxation, and on the other hand, to analyse the possibilities of a tax entity for the tax base determination and the tax liability calculation. For this purpose, a model example of taxation of the transfer of immovable property for consideration is used, to which the method of the multi-criteria decision-making is applied as an opportunity to use the mathematical methods for the transactional property tax. Based on the method of the multi-criteria analysis of alternatives, it was found that in the model example, it was more advantageous for the tax entity to use the indicative value.

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Doubek, V., J. Švasta, and L. Ackermann Blažková. " Agricultural trade in example of milk from perspective of multi-criteria analysis." Agricultural Economics (Zemědělská ekonomika) 58, No. 7 (July 23, 2012): 315–23. http://dx.doi.org/10.17221/168/2011-agricecon.

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Traditional farming on agricultural land under the standard soil and natural-climatic conditions within the EU is based on the structure of the polygastric livestock (especially cattle), which ensures the complex carbon recycling and its return to arable soil. In the last 15 years, we have been witnessing to a sharp decline in the number of dairy cows in the Czech Republic. This fact has resulted in certain destabilising factors that have disrupted the stability of the biological system. Breeding dairy cows and its profitability is a function of the conditions for the realisation of milk production. This paper examines these aspects within a complex of factors from the use of milk production to the structure of the decision making process and it classifies and quantifies the individual problems from the perspective of the multi-criteria analysis.  

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Chybowski, Leszek, Michał Twardochleb, and Bogusz Wiśnicki. "Odlučivanje na temelju multikriterijske analize značajnosti komponenti u kompleksnom pomorskom sustavu." Naše more 63, no. 4 (November 2016): 264–70. http://dx.doi.org/10.17818/nm/2016/4.3.

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Majumdar, Sudipa, Rashita Puthiya, and Nandan Bendarkar. "Application of multi-criteria decision analysis for investment strategies in the Indian equity market." Investment Management and Financial Innovations 18, no. 3 (August 4, 2021): 40–51. http://dx.doi.org/10.21511/imfi.18(3).2021.04.

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In the Indian equity market, the Systematic Investment Plan (SIP) is the most popular strategy due to its convenience for disciplined investing regardless of market conditions. This study analyzes the excess returns of an extensive dataset of listed Indian companies from 2010 to 2019, along with a value-based version of the Multi-Criteria Decision Analysis (MCDA), to identify top performing stocks, based on their sectors and market capitalization. The findings of the study provide empirical evidence of Value Averaging (VA) as a viable alternative strategy over SIP (also known as Dollar Cost Averaging or Rupee Cost Averaging) as 352 out of 359 companies yielded higher returns under VA. The superiority of the VA strategy over the SIP was particularly marked in the consumer goods, financial services and industrial manufacturing sectors, with a clear dominance of small cap companies. The results also show that risk factors for VA strategy play an important role and should be taken into account, rather than base investment decisions on excess returns alone. The efficiency scores of individual stocks provide important insights for mutual funds, financial brokers and individual investors in India.

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Kritikos, Theodosios R. H., and Timohty R. H. Davies. "GIS-based Multi-Criteria Decision Analysis for landslide susceptibility mapping at northern Evia, Greece." Zeitschrift der Deutschen Gesellschaft für Geowissenschaften 162, no. 4 (December 1, 2011): 421–34. http://dx.doi.org/10.1127/1860-1804/2011/0162-0421.

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8

Massinai, Muhammad Altin. "Mapping Groundwater Potential based on Geospatial Analysis and Multi-criteria Decision Analysis in Gowa Regency, South Sulawesi, Indonesia." Journal of Advanced Research in Dynamical and Control Systems 12, no. 5 (May 30, 2020): 550–61. http://dx.doi.org/10.5373/jardcs/v12i5/20201974.

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9

Meidiana, C., S. D. K. Uma, and W. P. Wijayanti. "Management of Rural Biogas from Manure Waste using Multi-Criteria Analysis and Geographical Information System (GIS) Approach." Journal of Clean Energy Technologies 6, no. 4 (July 2018): 303–8. http://dx.doi.org/10.18178/jocet.2018.6.4.479.

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10

Jung. "A Study on Priority Evaluation of the Rope-type Platform Safety Door(RPSD) Installation by Multi-criteria Decision Analysis." Journal of the Korean Society of Civil Engineers 35, no. 3 (2015): 639. http://dx.doi.org/10.12652/ksce.2015.35.3.0639.

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Zlaugotne, Beate, Lauma Zihare, Lauma Balode, Antra Kalnbalkite, Aset Khabdullin, and Dagnija Blumberga. "Multi-Criteria Decision Analysis Methods Comparison." Environmental and Climate Technologies 24, no. 1 (January 1, 2020): 454–71. http://dx.doi.org/10.2478/rtuect-2020-0028.

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AbstractMulti-criteria decision analysis (MCDA) is widely used to solve various decision problems through alternative evaluation. MCDA methods can be used in every field that can define a problem, alternatives and criteria. However, finding the appropriate method can influence the results, in this research five MCDA methods have been tested on the renewable energy sector in Latvia to find the best alternative. The main results showed that TOPSIS, VIKOR and PROMETHEE-GAIA have similar priority selection and the highest ranking was selected for hydropower plant, but MULTIMOORA and COPRAS results were beneficial to Solar PV.

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Selivanovs, Jevgenijs, Edgars Vigants, Vivita Priedniece, Ivars Veidenbergs, and Dagnija Blumberga. "Flue gas treatment multi-criteria analysis." Energy Procedia 128 (September 2017): 379–85. http://dx.doi.org/10.1016/j.egypro.2017.09.056.

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Pisoni, Enrico, Claudio Carnevale, and Marialuisa Volta. "Multi-criteria analysis for PM10 planning." Atmospheric Environment 43, no. 31 (October 2009): 4833–42. http://dx.doi.org/10.1016/j.atmosenv.2008.07.049.

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Beinat, Euro. "Multi-criteria analysis for environmental management." Journal of Multi-Criteria Decision Analysis 10, no. 2 (2001): 51. http://dx.doi.org/10.1002/mcda.294.

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Yatsalo, Boris, Alexander Korobov, and L. Martínez. "Fuzzy multi-criteria acceptability analysis: A new approach to multi-criteria decision analysis under fuzzy environment." Expert Systems with Applications 84 (October 2017): 262–71. http://dx.doi.org/10.1016/j.eswa.2017.05.005.

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Urli, B., and R. Nadeau. "Evolution of multi-criteria analysis: a scientometric analysis." Journal of Multi-Criteria Decision Analysis 8, no. 1 (January 1999): 31–43. http://dx.doi.org/10.1002/(sici)1099-1360(199901)8:1<31::aid-mcda222>3.0.co;2-1.

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Clímaco, João N., João A. Costa, Luis C. Dias, and Paulo Melo. "Supporting Collaborative Multi-Criteria Evaluation." International Journal of Decision Support System Technology 1, no. 4 (October 2009): 1–15. http://dx.doi.org/10.4018/jdsst.2009062601.

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This article presents the VIP Analysis plug-in of Decision Deck 1.1, a platform that hosts different evaluation methods to support decision makers in the collaborative evaluation of alternatives in a multi-criteria and multi-experts setting. VIP Analysis is a tool for aggregation of multicriteria performances by means of an additive value function under imprecise information. It allows conducting a multicriteria analysis for selecting an alternative when the decision makers are not able to (or do not wish to) fix precise values for the importance parameters. These parameters are seen as variables that may take several values subject to constraints. VIP Analysis incorporates different methods to support the progressive reduction of the number of alternatives, introducing a concept of tolerance that lets decision makers use some of the methods in a more flexible manner. When compared with the original standalone VIP Analysis (programmed in the late 1990s) the main innovation of the VIP Analysis plug-in is to allow several users working on the same problem under different roles: coordinator, evaluator, and decision-maker, thus defining a workflow process and enabling concurrent and remote access to the data over a network. By being included in the Decision Deck platform, VIP Analysis is now integrated with other decision aiding methods within a coherent interface. A final advantage is that the platform is open-source, which facilitates customization and collaborative improvement of the software.

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Kovalev, S. P., V. A. Nelyub, and V. V. Shelofast. "Multi-criteria analysis of aircraft structures fracture." Russian Aeronautics (Iz VUZ) 58, no. 4 (October 2015): 370–75. http://dx.doi.org/10.3103/s1068799815040029.

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Tawfik, Hissam, Atulya Nagar, and Terrence Fernando. "Multi-Criteria Spatial Analysis of Building Layouts." Issues in Informing Science and Information Technology 4 (2007): 781–89. http://dx.doi.org/10.28945/988.

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Guseva, A. I., E. V. Matrosova, A. N. Tikhomirova, and N. N. Matrosov. "MULTI-CRITERIA MODEL OF CUSTOMER LOYALTY ANALYSIS." Фундаментальные исследования (Fundamental research), no. 6 2020 (2020): 31–37. http://dx.doi.org/10.17513/fr.42773.

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Perez-Benitez, Virginia, German Gemar, and Mónica Hernández. "Multi-Criteria Analysis for Business Location Decisions." Mathematics 9, no. 20 (October 17, 2021): 2615. http://dx.doi.org/10.3390/math9202615.

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Choosing the physical place in which to locate a company or make investments is a strategic decision that managers must make when their business activities begin and as they expand. These decisions are key to firms’ survival. This study sought to shed light on this decision problem and assist managers in making these decisions. The first research objective was to examine the different dimensions that decision makers should consider regarding locations. The second objective was to test the efficacy of multi-criteria analysis methods regarding this decision problem. More specifically, this study applied a combination of the preference ranking organization method for enrichment of evaluations and the geometric analysis for interactive aid method, complemented by the analytical hierarchy process. The last objective was to rank major European cities on their suitability as business locations. The results include a preferential ranking of 66 European cities. London is the best positioned in all dimensions, followed by Paris and Barcelona. The findings’ originality comes from the inclusion of dimensions such as climate, security, and technology, which are given little weight in other similar indices, as well as the fresh approach to this decision problem from a business perspective and the combination of methodologies.

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Caetano, Vasco, Paula Couto, Simona Fontul, and Maria João Falcão Silva. "Multi-criteria analysis applied to railway rehabilitation." MATEC Web of Conferences 211 (2018): 12007. http://dx.doi.org/10.1051/matecconf/201821112007.

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The railway infrastructure has very specific constraints that lead to the need of maximizing of the availability of infrastructure, with high levels of safety and quality, associated with an optimized cost. Having said this, it is essential to understand the methods behind the inspection and monitoring of existing railway infrastructures, the way of processing their data, as well as existing rehabilitation solutions. The present work begins with a brief description of the components of the ballast track and its operation, the different types of actions to which it is subjected to and the degradation mechanisms at the level of the ballast layer, substructure and transition zones, with particular attention being given to the latter since it is a section of the road with singularities that lead to a more pronounced degradation. The rehabilitation solutions addressed in this work start from a slight attack of the road (which can be considered as a small intervention) until a complete renovation of the road with reinforcement of the foundation. Based on the previously mentioned concepts, it is possible to define which variables, criteria and respective weights are more important and influence the investment decision (on the rehabilitation of the railway infrastructure), thus enabling the methodologies of multi-criteria analysis applied to these variables. Currently, the economic factor is one of the variables that influence the most in decision making due to the lack of investment capacity. Mainly because of this factor and sometimes even without performing an analysis, one of the common practices is the restriction of circulation velocity rather than maintenance or rehabilitation measures. The case study used is an excerpt from a railroad in Portugal, where the entire described process will be applied and consequently analysed. Therefore, this work intends to contribute to a more efficient planning of the railway maintenance and rehabilitation measures, based on a better use of the data resulting from the track inspection, through a multi-criteria analysis.

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Yeh, Chung-Hsing, Robert J. Willis, Hepu Deng, and Hongqi Pan. "Task oriented weighting in multi-criteria analysis." European Journal of Operational Research 119, no. 1 (November 1999): 130–46. http://dx.doi.org/10.1016/s0377-2217(98)90353-8.

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Wang, Xiangrong, Yakup Koç, Sybil Derrible, Sk Nasir Ahmad, Willem J. A. Pino, and Robert E. Kooij. "Multi-criteria robustness analysis of metro networks." Physica A: Statistical Mechanics and its Applications 474 (May 2017): 19–31. http://dx.doi.org/10.1016/j.physa.2017.01.072.

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Hein, Nelson, Adriana Kroenke, and Moacir Manoel Rodrigues Júnior. "Professor Assessment Using Multi-Criteria Decision Analysis." Procedia Computer Science 55 (2015): 539–48. http://dx.doi.org/10.1016/j.procs.2015.07.034.

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Broniewicz, Elzbieta, and Karolina Ogrodnik. "Multi-criteria analysis of transport infrastructure projects." Transportation Research Part D: Transport and Environment 83 (June 2020): 102351. http://dx.doi.org/10.1016/j.trd.2020.102351.

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Durbach, Ian N., and Theodor J. Stewart. "Modeling uncertainty in multi-criteria decision analysis." European Journal of Operational Research 223, no. 1 (November 2012): 1–14. http://dx.doi.org/10.1016/j.ejor.2012.04.038.

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Bendjenna, Hakim, Pierre‐Jean Charre, and Nacer Eddine Zarour. "Using multi‐criteria analysis to prioritize stakeholders." Journal of Systems and Information Technology 14, no. 3 (August 10, 2012): 264–80. http://dx.doi.org/10.1108/13287261211255365.

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Vasconcelos, Ana G. G., Renan M. V. Rodrigues Almeida, and Flávio F. Nobre. "Path Analysis and Multi-Criteria Decision Making." Annals of Epidemiology 11, no. 6 (August 2001): 377–84. http://dx.doi.org/10.1016/s1047-2797(01)00232-0.

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Buchholz, Thomas, Ewald Rametsteiner, Timothy A. Volk, and Valerie A. Luzadis. "Multi Criteria Analysis for bioenergy systems assessments." Energy Policy 37, no. 2 (February 2009): 484–95. http://dx.doi.org/10.1016/j.enpol.2008.09.054.

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Rao, Bakul, Archana Mane, Anand B. Rao, and Vishal Sardeshpande. "Multi-criteria Analysis of Alternative Biogas Technologies." Energy Procedia 54 (2014): 292–301. http://dx.doi.org/10.1016/j.egypro.2014.07.272.

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Yau, Chuk, and Tim Davis. "Using multi-criteria analysis for tenant selection." Decision Support Systems 12, no. 3 (October 1994): 233–44. http://dx.doi.org/10.1016/0167-9236(94)90007-8.

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Safronova, Alina, Aiga Barisa, and Vladimirs Kirsanovs. "Linking Sustainable Mobility Criteria to Policymaking: Results of Multi-Criteria Analysis." EAI Endorsed Transactions on Energy Web 9, no. 39 (June 21, 2022): e7. http://dx.doi.org/10.4108/ew.v9i39.1549.

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With increasing emissions from the transport sector, the need to reduce emissions is becoming increasingly acute. The EC's Climate Law aims to re-duce emissions by 55% by 2030, while the growing transport sector is the slowest to meet these targets. Only a few European Union (EU) countries met the 2020 renewable energy source target in the transport sector, which indicates that major changes are needed to meet the new EU requirements. As each country has limited financial resources, it is necessary to assess the impact of the policy before its implementation. In this study, a survey of 19 industry experts was conducted to identify the most promising policy in-struments for reducing emissions in the road transport sector, as well as to identify the most promising fuels for which more resources should be devoted. In this publication, data analysis was performed by the combined Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methodology. The obtained data can be further used for in-depth analysis such as cost-benefit analysis or complex system dynamics analysis for later use in sustainable policy formulation.

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Gomes, Luiz Flavio Autran Monteiro, Maria Augusta Soares Machado, and Luis Alberto Duncan Rangel. "Behavioral multi-criteria decision analysis: the TODIM method with criteria interactions." Annals of Operations Research 211, no. 1 (March 21, 2013): 531–48. http://dx.doi.org/10.1007/s10479-013-1345-0.

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Marjuki, Bramantiyo, and Iwan Rudiarto. "Spatial Multi-Criteria Analysis and Least-Cost Path on The Highway Route Planning: A Case Study of Bawen – Yogyakarta Highway, Indonesia." Geoplanning: Journal of Geomatics and Planning 7, no. 2 (November 1, 2020): 113–30. http://dx.doi.org/10.14710/geoplanning.7.2.113-130.

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Infrastructure planning ideally not only considers the geotechnical aspects and physical conditions of the infrastructure development location but also must be able to support regional development. One kind of spatial analysis technique which has capabilities to integrate various regional characteristics associated with its suitability for a particular use is spatial multi-criteria analysis. By using Bawen-Yogyakarta Toll Road Plan as a case study, this research is intended to apply route planning that takes into account regional characteristics, through the involvement of Spatial Multi-Criteria Analysis, Analytic Hierarchy Process, and Least Cost Path analysis. The analysis results then compared with the government preferred route to see its advantages and disadvantages. The results show that the generated route from the analysis has several advantages over the government preferred route, while also having some shortcomings. The advantages of route analysis results compared to government preference routes include: better able to avoid earthquake and landslide-prone areas, better support to the preservation of protected areas, has more areas with flat to gentle topography, and have smaller additional construction cost as the consequences of intersection with existing roads, rivers and railways, In terms of affected land-use, generated route also has minimum negative impacts on the sustainability of agricultural land in the study area. The shortcomings of the analysis result are: not yet able to avoid flood and volcanic eruptions-prone areas as well as government’s preferences route, higher land acquisition cost estimation, and less support for industrial and tourism activities in the research area. Improvement of analysis methods, data, and cost assessment strategy is needed to obtain better results and more appropriate modeling and analysis, in order to support regional infrastructure planning and development.

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Abija, Fidelis Ankwo, Joseph I. Nwosu, Abimbola I. Ifedotun, and Chuka C. Osadebe. "Landslide susceptibility assessment of Calabar, Nigeria using Geotechnical, Remote Sensing and Multi-Criteria Decision Analysis: Implications for urban planning and development." SDRP Journal of Earth Sciences & Environmental Studies 4, no. 6 (2019): 774–88. http://dx.doi.org/10.25177/jeses.4.6.ra.617.

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37

Adiguna, Surya, Dewanti Dewanti Dewanti, and JB Odoki. "Multi-Year Program under Budget Constraints Using Multi-Criteria Analysis." Journal of the Civil Engineering Forum 3, no. 2 (September 12, 2017): 353. http://dx.doi.org/10.22146/jcef.26791.

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Road investment appraisal requires joint consideration of multiple criteria which are related to engineering, economic, social and environmental impacts. The investment consideration could be based on the economic analysis but however for some factors, such as environmental, social, and political, are difficult to quantify in monetary term. The multi-criteria analysis is the alternative tool which caters the requirements of the issues above. The research, which is based on 102 class D and class E paved road sections in Kenya, is about to optimize road network investment under budget constraints by applying a multi-criteria analysis (MCA) method and compare it with the conventional economic analysis. The MCA is developed from hierarchy structure which is considered as the analytical framework. The framework is based on selected criteria and weights which are assigned from Kenya road policy. The HDM-4 software is applied as decision-making tool to obtain the best investment alternatives and road work programs from both MCA and economic analysis. The road work programs will be the results from the analysis using both MCA and economic analysis within HDM-4 software to see the difference and compare the results between both programs. The results from MCA show 51 road sections need periodic work, which is overlay or resealing. Meanwhile, 51 others need rehabilitation or reconstruction. The five years road work program which based on economic analysis result shows that it costs almost Kenyan Shilling (KES) 130 billion to maintain the class D and E paved road in Kenya. Meanwhile, the MCA only requires KES 59.5 billion for 5 years program. These results show huge margin between two analyses and somehow MCA result provides more efficient work program compared to economic analysis.

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Lombardi Netto, Antonio, Valerio Antonio Pamplona Salomon, and Miguel Angel Ortiz Barrios. "Multi-Criteria Analysis of Green Bonds: Hybrid Multi-Method Applications." Sustainability 13, no. 19 (September 22, 2021): 10512. http://dx.doi.org/10.3390/su131910512.

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There is an increasing pressure by the community and customers forcing companies to insert environmental concerns in their practices. To help companies initiatives, the green bonds market was created. Our research question is “How to select bonds in a growing billion-dollar market?” This paper presents a multi-criteria decision analysis (MCDA) model to enable investors identify opportunities based not only in opinions, but grounded on objective facts. Analytic hierarchy process (AHP), complex proportional assessment (COPRAS), full consistency method (FUCOM), step-wise Weights Assessment Ratio Analysis (SWARA), and technique of order preference similarity to the ideal solution (TOPSIS) are MCDA methods applied in this paper. Top-fifteen green bonds ranked by specialized media were assessed with the proposed MCDA model. Criteria included the Environmental Performance Index (EPI) proposed by Yale University, and common financial indicators as assets, risks (β), and dividends. The new ranks from MCDA are compared each other and compared with the rank published by specialized media.

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Kuimova, Yelena I., and Dmitriy A. Ryabov. "Multi-criteria problem of optimization." Vestnik Kostroma State University. Series: Pedagogy. Psychology. Sociokinetics, no. 3 (2019): 214–16. http://dx.doi.org/10.34216/2073-1426-2019-25-3-214-216.

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General subjects of teaching technics connected with minimisation by metrics are under consideration.The effectiveness of studying the possibilities of mathematical modelling in applied economical problems depends not only on studying the basic section of operation research, but also on the skill of finding the resolution of non-typical situation independently. Comparative analysis of different approaches to reduction of multicriteria problem to a single-criterion problem for further use of classical optimisation techniques.Comparative analysis of different approaches to the reduction of a multi-criteria problem to a single-criterion problem is carried out for the further use of classical methods for finding of optimal solution. The study of complex optimisation problems contributes to the development of nonstandard creative thinking and abilities of the future specialists in general volume of professional training of student.

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Maddahi, Z., A. Jalalian, M. M. Kheirkhah Zarkesh, and N. Honarjo. "Land suitability analysis for rice cultivation using a GIS-based fuzzy multi-criteria decision making approach: central part of Amol District, Iran." Soil and Water Research 12, No. 1 (January 18, 2017): 29–38. http://dx.doi.org/10.17221/1/2016-swr.

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Land suitability analysis and preparing land use maps is one of the most beneficial applications of the Geographic Information System (GIS) in planning and managing land recourses. The main objective of this study was to develop a fuzzy multi-criteria decision making technique integrated with the GIS to assess suitable areas for rice cultivation in Amol District, Iran. Several suitability factors including soil properties, climatic conditions, topography, and accessibility were selected based on the FAO framework and experts’ opinions. A fuzzy analytical hierarchical process (FAHP) was used to determine the weights of the various criteria. The GIS was used to overlay and generate criteria maps and a land suitability map. The study area has been classified into four categories of rice cultivation suitability (highly suitable, suitable, moderately suitable, and unsuitable). The present study has attempted to introduce and use the FAHP method to land suitability analysis and to select lands in order to be used as best as possible. Areas that are classified as highly suitable and suitable for rice cultivation constitute about 59.8% of the total area of the region. The results of the present research indicate that the FAHP is an efficient strategy to increase the accuracy of the weight of the criteria affecting the analysis of land suitability.

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Lahdelma, Risto, and Pekka Salminen. "Pseudo-criteria versus linear utility function in stochastic multi-criteria acceptability analysis." European Journal of Operational Research 141, no. 2 (September 2002): 454–69. http://dx.doi.org/10.1016/s0377-2217(01)00276-4.

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Ergun, Cansu, Sumeyra Elif Erdogan, Gokhan Aldemir, and Ferhan Cebi. "Examination of gym centre design criteria using multi-criteria decision analysis methodologies." International Journal of Information and Decision Sciences 14, no. 4 (2022): 345. http://dx.doi.org/10.1504/ijids.2022.127470.

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Aldemir, Gokhan, Cansu Ergun, Ferhan Cebi, and Sumeyra Elif Erdogan. "Examination of gym centre design criteria using multi-criteria decision analysis methodologies." International Journal of Information and Decision Sciences 14, no. 4 (2022): 345. http://dx.doi.org/10.1504/ijids.2022.10052394.

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Liu, Shao-Chen, Yu-Ren Chen, Cheng-Ju Kuo, Tzu-Yu Lin, Kuo-Cheng Ting, Don-Lin Yang, Hsi-Min Chen, and Yi-Chung Chen. "Multi-tasking multi-machine scheduling system for multi-stage multi-criteria production." MATEC Web of Conferences 185 (2018): 00023. http://dx.doi.org/10.1051/matecconf/201818500023.

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In recent years, many major manufacturers have been incorporating Industry 4.0 technologies such as preventive fault detection, automated scheduling algorithms, and component management to increase productivity and reduce production costs. Achieving this objective requires a substantial amount of working capital to acquire large quantities of new machinery, equipment to extract data from the machinery, and high-priced big data analysis software. However, most factories in the world are small-or medium-sized companies and have not enough capital to replace their machinery or purchase big data analysis software. It is therefore almost impossible for these factories to reach the goal of Industry 4.0. Furthermore, most of the conventional automated production scheduling methods only consider a single criterion in scheduling, which is not applicable for actual situations. This study therefore proposed a multi-tasking multi-machine scheduling system for multi-stage multi-criteria production to address various shortcomings in existing methods. To achieve this goal, we proposed a novel concept based on skyline queries to assist in the scheduling process. Also, a data structure of "heap" is applied in this work to accelerate the scheduling process. The experimental results demonstrated the validity of the proposed approach.

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Bergqvist, Rickard, Cathy Macharis, Dries Meers, and Johan Woxenius. "Making hinterland transport more sustainable a multi actor multi criteria analysis." Research in Transportation Business & Management 14 (March 2015): 80–89. http://dx.doi.org/10.1016/j.rtbm.2014.10.009.

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Nykyforov, Anatolii, Olena SUSHCHENKO, Mariana Petrova, and Nataliia Pohuda. "Multi-criteria technologies for managerial decisions system analysis." Access Journal - Access to Science, Business, Innovation in the digital economy 2, no. 2 (May 1, 2021): 150–61. http://dx.doi.org/10.46656/access.2021.2.2(3).

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Vamza, Ilze, Karlis Valters, and Dagnija Blumberga. "Multi-Criteria Analysis of Lignocellulose Substrate Pre-Treatment." Environmental and Climate Technologies 24, no. 3 (November 1, 2020): 483–92. http://dx.doi.org/10.2478/rtuect-2020-0118.

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Abstract Due to growing topicality of indirect land use change, greater shift towards second generation biofuels should be observed. In order to help smaller biogas and bioethanol producers, multi-criteria analysis of lignocellulose pre-treatment is conducted to elucidate the most preferable approach for lignocellulose pre-treatment. There are four main pre-treatment groups – biological, chemical, physical and physochemical pre-treatment. In this article three pre-treatment types were described by highlighting their specific approaches; using multi-criteria analysis a conclusion was reached that the most preferable pre-treatment option for lignocellulose biomass like corn stover or sugarcane is microbiological pre-treatment, as it showed the closest proximity to ideal solution.

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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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Kumar, Akshi, and M. P. S. Bhatia. "Big Data Analysis for Multi-Criteria Decision Making." Recent Advances in Computer Science and Communications 14, no. 5 (August 30, 2021): 1400–1401. http://dx.doi.org/10.2174/266625581405210129161735.

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Brusov, V. S., and S. A. Piyavskii. "Multi-criteria analysis of high-altitude UAV concepts." Russian Aeronautics 59, no. 4 (October 2016): 447–51. http://dx.doi.org/10.3103/s1068799816040024.

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