We investigate tradeoffs among expressiveness, operational cost, and economic efficiency for a class of multiattribute double-auction markets. To enable polynomial-time clearing and information feedback operations, we restrict the bidding language to a form of multiattribute OR-of-XOR expressions. We then consider implications of this restriction in environments where bidders’ preferences lie w...

In this paper we introduce an approach for solving multiattribute decision-making problems in which there are several decision-makers who individually and independently elicit their preferences. The preferences of each decision-maker are imprecise and represented by an imprecise additive multiattribute utility function. We allow for incomplete information on the component utility functions and ...

FUZZY LINEAR PROGRAMMING USING MULTIATTRIBUTE VALUE FUNCTION Masahiro INUIGUCHI Hidetomo ICHIHASHI Hideo TANAKA University of Osaka Prefecture In this paper, a fuzzy linear programming problem is formulated under the assumption that a multiattribute value function is given, and its method of solution is proposed. The fuzzy linear programming problem in this paper is the unconstrained linear pro...

Decision-theoretic elicitation of generalized additive utilities Darius Braziūnas Doctor of Philosophy Graduate Department of Computer Science University of Toronto 2012 In this thesis, we present a decision-theoretic framework for building decision support systems that incrementally elicit preferences of individual users over multiattribute outcomes and then provide recommendations based on th...

An important goal of visualization technology is to support the exploration and analysis of very large amounts of data which are usually stored in databases. Since number and size of the databases is growing rapidly, there is a need for novel visualization techniques which allow a visualization of larger amounts of data. Most of today’s databases store typical transaction-generated multiattribu...

Prospect theory is currently the main descriptive theory of decision under uncertainty. It generalizes expected utility by introducing nonlinear decision weighting and loss aversion. A difficulty in the study of multiattribute utility under prospect theory is to determine when an attribute yields a gain or a loss. One possibility, which has been adopted in the existing theoretical literature on...

This paper presents a granular computing approach to decision analysis using rough set theory and its variable precision extension. The multiattribute structure of decision domain is mapped to the notions of equivalence relations of rough set theory. It allows expressing decision categories in terms of approximation space wherein a decision class can be approximated through the partition of bou...

Auctions are a fundamental mechanism to automate negotiations in electronic commerce. We consider a class of multi-lateral negotiation situations, which requires negotiation on multiple attributes of a deal. These situations are typical for corporate procurement. Current auction implementations do not support these negotiations adequately. In the paper we propose multi-attribute auctions, an ec...