Author:
Bokati Laxman,Nguyen Hoang Phuong,Kosheleva Olga,Kreinovich Vladik, , , ,
Abstract
In many practical situations, a user needs our help in selecting the best out of a large number of alternatives. To be able to help, we need to understand the user’s preferences. In decision theory, preferences are described by numerical values known as utilities. It is often not feasible to ask the user to provide utilities of all possible alternatives, so we must be able to estimate these utilities based on utilities of different aspects of these alternatives. In this paper, we provide a general formula for combining utilities of aspects into a single utility value. The resulting formula turns out to be in good accordance with the known correspondence between geometric images and different degrees of happiness.
Publisher
Fuji Technology Press Ltd.
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Human-Computer Interaction
Reference12 articles.
1. P. C. Fishburn, “Utility Theory for Decision Making,” John Wiley & Sons Inc., 1969.
2. V. Kreinovich, “Decision making under interval uncertainty (and beyond),” P. Guo and W. Pedrycz (Eds.), “Human-Centric Decision-Making Models for Social Sciences,” pp. 163-193, Springer-Verlag, 2014.
3. R. D. Luce and R. Raiffa, “Games and Decisions: Introduction and Critical Survey,” Dover, 1989.
4. H. T. Nguyen, O. Kosheleva, and V. Kreinovich, “Decision making beyond Arrow’s ‘impossibility theorem,’ with the analysis of effects of collusion and mutual attraction,” Int. J. of Intelligent Systems, Vol.24, No.1, pp. 27-47, 2009.
5. H. Raiffa, “Decision Analysis,” McGraw-Hill, 1997.