Intuitionistic Fuzzy Logit Model of Discrete Choice

被引：2

作者：

Aggarwal, Manish ^{[1
]}

Hanmandlu, Madasu ^{[2
]}

Keane, Mark T. ^{[3
]}

Biswas, Kanad K. ^{[4
]}

机构：

[1] Indian Inst Management Ahmedabad, Ahmadabad 380015, Gujarat, India

[2] MVSR Engn Coll, Dept Comp Sci & Engn, Hyderabad 501510, India

[3] Univ Coll Dublin, Dept Comp Sci, Dublin, Ireland

[4] Bennett Univ, Dept Comp Sci & Engn, Greater Noida 201310, India

来源：

IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE | 2019年 / 3卷 / 01期

关键词：

Decision analysis; choice behaviour; discrete choice probability; intuitionistic fuzzy; MULTINOMIAL LOGIT; CORPORATE BANKRUPTCY; RISK; PROBABILITIES; SETS;

D O I：

10.1109/TETCI.2018.2864555

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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 intuitionistic fuzzy variant of the multinomial logit model, which helps us to suggest a decision-maker's likely choices with vague evaluations. The applicability of the proposed model is shown through a real multicriteria decision-making application.

引用

页码：85 / 89

页数：5

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