Browsing Working Papers by Author "Aggarwal, Manish"
Now showing items 1-11 of 11
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Attitudinal choquet integrals for strategic decision making
Aggarwal, Manish (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 ... -
Discriminative aggregation operators for multi criteria decision making
Aggarwal, Manish (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
Aggarwal, Manish (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 ... -
Interactive discrete choice models
Aggarwal, Manish (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 ... -
Intuitionistic fuzzy model of discrete choice
Aggarwal, Manish (Indian Institute of Management Ahmedabad, 2016)The discrete choice models yield a decision-maker (DM)’s choices on the basis of the criteria values. In practice, however, the choices depend on the degree of enjoyment that an evaluating agent derives from a criterion, ... -
Learning decision models with multinomial logit model through pair-wise preferences
Aggarwal, Manish (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 ... -
Learning of utilitarian decision model through preferences
Aggarwal, Manish (Indian Institute of Management Ahmedabad, 2016-02)Our goal is to study a decision maker (DM)’s behavioral process that leads to his/her choice. We formalize the notion of a DM who is striving to make the best choice among the various alternatives. Concretely, we develop ... -
On the class of attitudinal discrete choice models
Aggarwal, Manish (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 ... -
Rough information sets
Aggarwal, Manish (Indian Institute of Management Ahmedabad, 2016-02)The information sets are recasted as information granules by using the fuzzy equivalence relations. The proposed information granules can be visualized as the entropies corresponding to the information source values, drawn ... -
Soft information set and its application in multi criteria decision making
Aggarwal, Manish (Indian Institute of Management Ahmedabad, 2016-03)An information source value is perceived differently by different agents. In this paper, we present a new knowledge representation structure, termed as soft information set (SIS), to provide a parameterized representation ... -
Uncertainty modeling with information and probabilistic information granules
Aggarwal, Manish (Indian Institute of Management Ahmedabad, 2016-02-29)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 ...