Mediative Multi-Criteria Decision Support System for Various Alternatives Based on Fuzzy Logic
Nitesh Dhiman1, M K Sharma2
1M. K. Sharma, Associate professor, Department of Mathematics, Chaudhary Charan Singh University, Meerut, India.
2Nitesh Dhiman, Research Scholar, Department of Mathematics, Chaudhary Charan Singh University, Meerut, India.
Manuscript received on November 20, 2019. | Revised Manuscript received on November 28, 2019. | Manuscript published on 30 November, 2019. | PP: 7940-7946 | Volume-8 Issue-4, November 2019. | Retrieval Number: D4207118419/2019©BEIESP | DOI: 10.35940/ijrte.D4207.118419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Present research paper, deals with a new method for solving multi-criteria decision-making problems, in an environment where conflict of interest exits. In this present paper we have defined the Mediative fuzzy point operators. By using Mediative fuzzy logic and Mediative fuzzy point operators we have established some new generalized mathematical results of Intuitionistic fuzzy logic theory in the form of Mediative fuzzy logic theory. Second, we have applied these results to multi-criteria for making it into Mediative multi-criteria for decision support system where multiple alternatives and various criteria’s exits. Numerical examples have also been carried out to prove the effectiveness and advantages of this paper.
Keywords: Evaluation Function, Mediative Fuzzy Set, Mediative Fuzzy Point Operator, Mediative Multi-Criteria Decision Making, Mediative Fuzzy Score Function.
Scope of the Article: Fuzzy Logics.