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      Application of improved fuzzy best worst analytic hierarchy process on renewable energy

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          Abstract

          In this work, a novel fuzzy decision making technique namely trapezoidal fuzzy Best-Worst method (fuzzy BWM) is developed which is based on Best-Worst method (BWM) and Trapezoidal fuzzy number. The real motive behind our work is to take a broad view of the existing fuzzy BWM based on triangular fuzzy number by trapezoidal fuzzy number. Also, we have presented a new hybrid MCDM technique called as Trapezoidal fuzzy Best Worst Analytic Hierarchy based on proposed trapezoidal fuzzy BWM and existing trapezoidal fuzzy Analytic Hierarchy Process (AHP). BWM approach is employed in evaluating the PV of considering criteria and trapezoidal fuzzy AHP is used to assess the local priority vale (PV) of considering alternatives (or indicators) of a decision problem. Moreover it used to identify the most significant alternative which is responsible for performance efficiency of a hydro power plant under climatic scenario. From the result, it is undoubtedly found that hydraulic had is most responsible indicator. Further, the CR (consistency ratio) value which is determined by our proposed trapezoidal fuzzy BWM is less than that of existing BWM and fuzzy BWM techniques. Finally, we have validated our result by comparative study, scenario analysis and sensitivity analysis.

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          Best-worst multi-criteria decision-making method

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            Applications of the extent analysis method on fuzzy AHP

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              Application of multi-criteria decision making to sustainable energy planning—A review

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                Author and article information

                Contributors
                Journal
                PeerJ Comput Sci
                PeerJ Comput Sci
                peerj-cs
                peerj-cs
                PeerJ Computer Science
                PeerJ Inc. (San Diego, USA )
                2376-5992
                13 April 2021
                2021
                : 7
                : e453
                Affiliations
                [1 ]Department of Basic Science and Humanities, Techno College of Engineering Agartala , Agartala, Tripura, India
                [2 ]Department of Automation and Applied Informatics, Aurel Vlaicu University of Arad, Arad , Romania
                [3 ]Department of Electronics & Instrumentation Engineering, National Institute of Technology Silchar , Assam, Silchar, India
                Author information
                http://orcid.org/0000-0003-0885-1283
                http://orcid.org/0000-0002-1134-1121
                Article
                cs-453
                10.7717/peerj-cs.453
                8053020
                00efa8b7-d36a-4e5a-8c7a-11e6566b0f9c
                © 2021 Majumder et al.

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited.

                History
                : 20 October 2020
                : 1 March 2021
                Funding
                The authors received no funding for this work.
                Categories
                Artificial Intelligence
                Optimization Theory and Computation

                fuzzy bwm,fuzzy ahp,trapezoidal fuzzy number,climate change,hydro power plant

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