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Representing uncertainty with information sets
(Institute of Electrical and Electronics Engineers Inc., 2016)
We develop new methods for the representation of uncertainty in the granularized information source values by making use of the entropy framework in the possibilistic domain. An information-theoretic entropy function is ...
Probabilistic variable precision fuzzy rough sets
(Institute of Electrical and Electronics Engineers Inc., 2016)
In the real world, we often encounter varying membership grades due to varying information source values. The fuzzy rough set model is refurbished to develop probabilistic variable precision fuzzy rough set (P-VP-FRS) to ...
On learning of choice models with interactive attributes
(IEEE Computer Society, 2016)
Introducing recent advances in the machine learning techniques to state-of-the-art discrete choice models, we develop an approach to infer the unique and complex decision making process of a decision-maker (DM), which is ...
Linguistic discriminative aggregation in multicriteria decision making
(John Wiley and Sons Ltd, 2016)
Several new aggregation operators are proposed in the context of multicriteria decision making (MCDM) in the linguistic domain. The proposed operators first infer the discrimination index, based on the extent of variability ...