Search
Now showing items 1-10 of 15
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 ...
Learning decision models with multinomial logit model through pair-wise preferences
(Indian Institute of Management Ahmedabad, 2016-03)
Our goal is to study the behavioral process of a decision maker (DM) that leads to his choice. To this end, we combine the established models of discrete choice with the recent algorithmic advances in the emerging field ...
Attitudinal choquet integrals for strategic decision making
(Indian Institute of Management Ahmedabad, 2016-02)
The compensation capabilities of Choquet integral are augmented by providing it with an additional parameter to relate the same with the complex attitudinal character of a decision maker (DM). The resulting operator is ...
Interactive discrete choice models
(Indian Institute of Management Ahmedabad, 2016-03)
The interaction among the criteria plays an integral part in the human decision making process. We propose new logit models of discrete choice to give the choice probability, taking into consideration the interaction among ...
On the class of attitudinal discrete choice models
(Indian Institute of Management Ahmedabad, 2016-03)
The complex human attitudinal character plays an important role in the real world decision making. To this end, we present a family of extended probabilistic discrete choice models. The attitude-based variants of multinomial ...
Discriminative aggregation operators for multi criteria decision making
(Indian Institute of Management Ahmedabad, 2016-02)
A general aggregation formalism for multi criteria decision making (MCDM) applications is presented that allows us to represent the existing aggregation operators as well as generate the new ones. Using this formalism, we ...
Information utility based decision support framework
(Indian Institute of Management Ahmedabad, 2016-03)
We introduce a novel entropy framework for the computation of utility on the basis of an agent’s subjective evaluation of the granularized information source values. A concept of evaluating agent as an information gain ...