A state of the art literature review of VIKOR and its fuzzy extensions on applications

Gül, Muhammet; Çelik, Erkan; Aydın, Nezir; Gumusź, Alev Taskin; Guneriź, Ali Fuat

doi:10.1016/j.asoc.2016.04.040

Cited by 241 publications

(94 citation statements)

References 316 publications

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“…It is a multi-criteria method developed by Serafim Opricovic in 1998. It solves a discrete multi-criteria problem with noncommensurable and conflicting area and determines a compromise solution for ranking and selecting considering conflicting criteria [13]. It helps the decision makers to reach a final solution.…”

Section: Methodsmentioning

confidence: 99%

Load Dispatch for a Power System in terms of Economy and Environment by Using VIKOR Method

Akkaş¹,

Arikan²,

Çam³

2017

deufmd

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Load dispatch considering economy and environment is an important issue at power systems. Economic load dispatch aims to generate demanded energy with minimum cost. It dispatches the load among generators by decreasing fuel cost. Otherwise, thermal plants are used commonly in the world to generate energy and they cause to environmental pollution. Energy generation with the most economic cost is good but protection of environment must be considered. Environmental load dispatch aims to generate demanded energy with minimum emission. It is significant for living in good health and clean environment. In this study, economic and environmental load dispatch problems are applied to a power system that consists of six generators to investigate cost and emission. VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method is used for this study. VIKOR is one of the multi-criteria decision-making methods. It gives the most ideal solution for the problem.

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Section: Methodsmentioning

confidence: 99%

Load Dispatch for a Power System in terms of Economy and Environment by Using VIKOR Method

Akkaş¹,

Arikan²,

Çam³

2017

deufmd

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“…This method is based on the ideal solution and the negative ideal solution, and the best way to compromise the alternatives by maximizing the "group benefit" and minimizing the "individual regret" with the compromise planning method as the core. It is suitable for multi-attribute evaluation of complex systems with multiple criteria and conflicting and mutually constrained [4].…”

Section: Evaluation Of Operational Readiness Based On Entropy Weight mentioning

confidence: 99%

Evaluation Model of Equipment's Operational Readiness Based on Entropy Weight Method and VIKOR Method

Wang¹

2017

Proceedings of the 2017 7th International Conference on Manufacturing Science and Engineering (ICMSE 2017)

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Abstract. To solve the problem of lacking of systematic evaluation of the equipment's operational readiness that brings much difficulty to adapt to the requirements of the current transformation and construction equipment support, an evaluation model of operational readiness integrating entropy weight method and VIKOR method are established based on the selection of the proper operational readiness index. According to the relevant information of equipment service, the model is evaluated and validated. It is proved that this method can effectively evaluate equipment's operational readiness, and the research conclusion has certain reference significance for improving equipment's operational readiness.

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“…In recent years, a variety of interval-valued fuzzy VIKOR extensions have been proposed [8] as well as hybrid models featuring fuzzy VIKOR [27].…”

Section: Short Literature Reviewmentioning

confidence: 99%

Group Decision Analysis with Interval Type-2 Fuzzy Numbers

Ilieva

2017

Cybernetics and Information Technologies

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A state of the art literature review of VIKOR and its fuzzy extensions on applications

Cited by 241 publications

References 316 publications

Load Dispatch for a Power System in terms of Economy and Environment by Using VIKOR Method

Load Dispatch for a Power System in terms of Economy and Environment by Using VIKOR Method

Evaluation Model of Equipment's Operational Readiness Based on Entropy Weight Method and VIKOR Method

Group Decision Analysis with Interval Type-2 Fuzzy Numbers

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