Inspired by the interactive discrete choice logit models [Aggarwal, 2019], this paper presents the advanced families
of discrete choice models, such as nested logit, mixed logit, and probit models to consider the interaction among
the attributes. Besides the DM’s attitudinal character is also taken into consideration in the computation of choice
probabilities. The proposed choice models make use of Choquet integal and the recent attitudinal Choquet integral.
The models are termed as Choquet nested logit (CNL), Choquet mixed multinomial logit (CMMNL), and Choquet
multinomial probit (CMP). These are further extended to represent the DM’s attitudinal character, and termed as
attitudinal CNL, attitudinal CMMNL, and attitudinal CMP.
Choice models , probabilistic , decision-making , attitudinal , attributes interaction