Search
Now showing items 11-17 of 17
Representation of uncertainty with information and probabilistic information granules
(Springer, 2017)
Linguistic representations by human brain are often characterized with an intertwined combination of imprecision (due to incomplete knowledge), vagueness, or uncertainty. A powerful framework of information and probabilistic ...
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. ...
Learning of aggregation models in multi criteria decision making
(Elsevier, 2017)
Generalized attitudinal Choquet integral (GACI) is a recent aggregation operator that subsumes a multi- tude of aggregation operators, including both linear as well as non-linear and exponential integrals. In this study, ...
Adaptive linguistic weighted aggregation operators for multi-criteria decision making
(Springer, 2017)
In this paper, we propose new aggregation operators for multi-criteria decision making under linguistic settings. The proposed operators are based on two sets of criteria weights. Besides the primary conventional criteria ...
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 ...