Intuitionistic Fuzzy Logit Model of Discrete Choice

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Title: Intuitionistic Fuzzy Logit Model of Discrete Choice
Authors: Aggarwal, Manish
Hanmandlu, Madasu
Keane, Mark T.
Biswas, Kanad
Permanent link: http://hdl.handle.net/10197/9847
Date: 10-Sep-2018
Online since: 2019-04-08T12:16:57Z
Abstract: In the real-world multicriteria decision making, the evaluations of the various criteria are often vague (or not crisp). The existing choice models are difficult to apply in such situations. In this paper, we introduce an intuitionistic fuzzy variant of the multinomial logit model, which helps us to suggest a decision-maker's likely choices with vague evaluations. The applicability of the proposed model is shown through a real multicriteria decision-making application.
Funding Details: European Commission
Science Foundation Ireland
Type of material: Journal Article
Publisher: IEEE
Journal: IEEE Transactions on Emerging Topics in Computational Intelligence
Volume: 3
Issue: 1
Start page: 85
End page: 89
Copyright (published version): 2018 IEEE
Keywords: Decision makingUncertaintyFuzzy setsProbabilistic logicComputational intelligenceComputer scienceComputational modeling
DOI: 10.1109/TETCI.2018.2864555
Language: en
Status of Item: Peer reviewed
Appears in Collections:Computer Science Research Collection
Insight Research Collection

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