Attitudinal choice models with applications in human decision making. Issue 7 (4th April 2019)

• Record Type: Journal Article
• Authors: Aggarwal, Manish
• Is Part Of: International journal of intelligent systems. Volume 34:Issue 7(2019)
• Page Start: 1524
• Page End: 1554
• Publication Date: 2019-04-04
• Subjects: attitudinal character -- choice model -- decision making -- discrete choice probability; Artificial intelligence -- Periodicals; Expert systems (Computer science) -- Periodicals; Intelligence artificielle -- Périodiques; Systèmes experts (Informatique) -- Périodiques; 006.3
• DOI: 10.1002/int.22106
• Languages: English
• ISSNs: 0884-8173

Abstract

Abstract: A new family of attitudinal discrete choice models is proposed by considering the attitudinal character and the weight vector, both of which are specific to a decision maker (DM). Given the attribute values of different alternatives, the proposed models give varying choice probabilities, as per the DM's‐specific attitudinal character and the weight vector. It is also shown that the conventional discrete choice models are the special cases of the proposed attitudinal models. The proposed choice models are also generalized through an additional parameter to add to their capabilities. An application on real data is included to demonstrate their usefulness in the real world.