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Preferences-based learning of multinomial logit model
(Springer, 2019)
We learn the parameters of the popular multinomial logit model to gain insights about a DM’s decision process. We accomplish this objective through the recent algorithmic advances in the emerging field of preference learning. ...
Confidence soft sets and applications in supplier selection
(Sciencedirect, 2019)
The evaluation of the alternatives against multiple criteria is of the utmost importance in a multi-criteria de-cisionmaking(MCDM)problem.Itisoftenthecasethattheexpertshaveavaryingdegreeofconfidenceintheirevaluations.Tha ...
A new family of Fuzzy Discrete Choice Models
(IEEE Xplore, 2019)
Often in real-world decision making, it is difficult to crisply evaluate the utility values as required in the case of conventional choice models. Besides, a decision maker (DM) has his/her own relative importance for each ...
Intuitionistic fuzzy logit model of discrete choice
(IEEE Xplore, 2019)
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 ...