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- W4385874007 abstract "Objectives: To develop a new parametric measure of entropy for Intuitionistic Fuzzy Sets and to study its application in selecting the best project for a company. Methods: We have used five-point Likert scale to determine the feedback of different projects and devised a method based on parametric intuitionistic fuzzy entropy to select the best project for the company. Findings: In this study, a parametric measure of entropy is being proposed for intuitionistic fuzzy sets. It is a generalized version of entropy for intuitionistic fuzzy sets. Properties of the proposed entropy have also been discussed. The proposed entropy is compared with other existing measures of entropy for intuitionistic fuzzy sets using a numerical example. Finally, the application of proposed entropy in selecting the best project is studied. Novelty: The proposed entropy is stable with the structured linguistic variables which most of the entropies are not. We have used a standard method based on parametric intuitionistic fuzzy entropy measure to determine the weights of each criterion which makes it more generalized and flexible. Instead of depending just on their own knowledge, decision-makers may use the suggested model to better comprehend the relative importance of each criteria for the selection of best project. Keywords: Fuzzy set; Intuitionistic fuzzy set; Fuzzy entropy; Intuitionistic fuzzy entropy; Linguistic variable" @default.
- W4385874007 created "2023-08-17" @default.
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- W4385874007 date "2023-08-14" @default.
- W4385874007 modified "2023-10-18" @default.
- W4385874007 title "Selecting the Best Project using Generalized Parametric Fuzzy Entropy Measure on Intuitionistic Fuzzy Sets" @default.
- W4385874007 doi "https://doi.org/10.17485/ijst/v16i30.637" @default.
- W4385874007 hasPublicationYear "2023" @default.
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