Intuitionistic Fuzzy Logit Model of Discrete Choice
|Title:||Intuitionistic Fuzzy Logit Model of Discrete Choice||Authors:||Aggarwal, Manish
Keane, Mark T.
|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 making; Uncertainty; Fuzzy sets; Probabilistic logic; Computational intelligence; Computer science; Computational modeling||DOI:||10.1109/TETCI.2018.2864555||Language:||en||Status of Item:||Peer reviewed|
|Appears in Collections:||Computer Science Research Collection|
Insight Research Collection
Show full item record
This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.