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http://hdl.handle.net/11718/23044Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Aggarwal, Manish | - |
| dc.date.accessioned | 2020-06-01T06:08:59Z | - |
| dc.date.available | 2020-06-01T06:08:59Z | - |
| dc.date.issued | 2019 | - |
| dc.identifier.citation | Aggarwal, M., Hanmandlu, M., Keane, M. T., & Biswas, K. K. (2018). Intuitionistic Fuzzy Logit Model of Discrete Choice. EEE Transactions on Emerging Topics in Computational Intelligence, 3(1), 85-89. doi:10.1109/ TETCI.2018.2864555 | en_US |
| dc.identifier.issn | 2471-285X | - |
| dc.identifier.uri | http://hdl.handle.net/11718/23044 | - |
| dc.description.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. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | IEEE Xplore | en_US |
| dc.subject | Decision making | en_US |
| dc.subject | Uncertainty | en_US |
| dc.subject | Fuzzy sets | en_US |
| dc.subject | Probabilistic logic | en_US |
| dc.subject | Computational intelligence | en_US |
| dc.subject | Computer science | en_US |
| dc.subject | Computational modeling | en_US |
| dc.title | Intuitionistic fuzzy logit model of discrete choice | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | Journal Articles | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Intuitionistic Fuzzy Logit.pdf Restricted Access | 404.08 kB | Adobe PDF | View/Open Request a copy |
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