To read this content please select one of the options below:

Learning attitudinal decision model through pair-wise preferences

Manish Aggarwal (Indian Institute of Management Ahmedabad (IIMA), Ahmedabad, India)

Kybernetes

ISSN: 0368-492X

Article publication date: 24 April 2018

Issue publication date: 26 September 2018

177

Abstract

Purpose

This paper aims to learn a decision-maker’s (DM’s) decision model that is characterized in terms of the attitudinal character and the attributes weight vector, both of which are specific to the DM. The authors take the learning information in the form of the exemplary preferences, given by a DM. The learning approach is formalized by bringing together the recent research in the choice models and machine learning. The study is validated on a set of 12 benchmark data sets.

Design/methodology/approach

The study includes emerging preference learning algorithms.

Findings

Learning of a DM’s attitudinal choice model.

Originality/value

Preferences-based learning of a DM’s attitudinal decision model.

Keywords

Citation

Aggarwal, M. (2018), "Learning attitudinal decision model through pair-wise preferences", Kybernetes, Vol. 47 No. 8, pp. 1569-1584. https://doi.org/10.1108/K-10-2017-0396

Publisher

:

Emerald Publishing Limited

Copyright © 2018, Emerald Publishing Limited

Related articles