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Intuitionistic Fuzzy Logit Model of Discrete Choice

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Author(s)
Aggarwal, Manish 
Hanmandlu, Madasu 
Keane, Mark T. 
Biswas, Kanad 
Uri
http://hdl.handle.net/10197/9847
Date Issued
10 September 2018
Date Available
08T12:16:57Z April 2019
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.
Sponsorship
European Commission
Science Foundation Ireland
Other Sponsorship
Insight Research Centre
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 making

  • Uncertainty

  • Fuzzy sets

  • Probabilistic logic

  • Computational intelli...

  • Computer science

  • Computational modelin...

DOI
10.1109/TETCI.2018.2864555
Language
English
Status of Item
Peer reviewed
ISSN
2471-285X
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Owning collection
Insight Research Collection
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