دانلود رایگان مقاله انگلیسی تصمیم گیری چند معیاره با شماره فاز شهودی مثلثاتی بر اساس سنجش فاصله - الزویر 2018

Abstract

The present communication aims to study the Triangular Intuitionistic Fuzzy Multiple Criteria Decision Making (TIF-MCDM) problem for finding the best option where the phonetic factors for the criteria are pre-characterized. In perspective of this, a new parametric entropy under α−cut/(α, β)− cut based distance measures has been proposed and implemented for various conceivable estimations of parameters. A survey structure based on a questionnaire for the purchase of a car has also been studied and devised the ranking procedure for the evaluation criteria. Further, a ranking algorithm for TIF-MCDM issue for the accessible options by processing the various distances between the perfect option and all the accessible options has been proposed. An illustrative example to rank the alternatives in view of different opinions has also been included.

7. Conclusions

Manufacturing environment, product design, creation framework, practical perspectives at workstation and cost required in, are a portion of the major impacting parameter that seem directly or indirectly influence the decision-making process. In some real-life circumstances, there exist issues that the data about the weight of criteria is unknown, and accordingly, to create techniques to deal with this issue is an imperative research heading. Here in this paper we have given the methodology of evaluating the weights of criteria, in a multi-criteria decision making. We have applied the same methodology on a survey structure based on questionnaire for the purchase of a car. Further, a ranking algorithm for Triangular Intuitionistic Fuzzy Multi-criteria Decision Making (TIF-MCDM) issue for the accessible options by processing the various distances between the perfect option and all the accessible options has been proposed. In this manner, we finish up that outcomes obtained using Grzegorzewski’s distance measure are better than the outcomes obtained by Li and Chen distance measure.