Skip redundant pieces
Home
KU Information Services
About KU Scholarworks
 
Browse
Communities
& Collections
Titles
Authors
Subjects
By Date
 
Sign on to:
Receive email
updates
My KU Scholarworks
authorized users
Edit Profile
 

Advanced Search
Subject Search

KU ScholarWorks >
School of Business >
School of Business Articles >

Please use this identifier to cite or link to this item: http://hdl.handle.net/1808/163
View usage statistics

Title: A Comparison of Axiomatic Approaches to Qualitative Decision Making Using Possibility Theory
Authors: Giang, Phan H.
Shenoy, Prakash P.
Keywords: Decision theory
Possibility theory
Axiomatic approach
utility theory
Issue Date: Aug-2001
Publisher: Morgan Kaufmann Publishers
Extent: 320037 bytes
Type: Book chapter
Citation: Giang, P. H. and P. P. Shenoy (2001), "A Comparison of Axiomatic Approaches to Qualitative Decision Making Using Possibility Theory," in J. Breese and D. Koller (eds.), Uncertainty in Artificial Intelligence, pp. 162--170, Morgan Kaufmann, San Francisco, CA.
Abstract: In this paper we analyze two recent axiomatic approaches proposed by Dubois et al., and by Giang and Shenoy, respectively, for qualitative decision making where uncertainty is described by possibility theory. Both axiomtizations are inspired by von Neumann and Morgenstern's system of axioms for the case of probability theory. We show that our approach naturally unifies two axiomatic systems that correspond, respectively, to pessimistic and optimistic decision criteria proposed by Dubois et al. The simplifying unification is achieved by (i) replacing axioms that are supposed to reflect two informational attitudes (uncertainty aversion and uncertainty attraction) by an axiom that imposes order on set of standard lotteries, and (ii) using a binary utility scale in which each utility level is represented by a pair of numbers.
Description: A longer version of this paper is available from KU Scholarworks as Giang, P. H. and P. P. Shenoy, "Two Axiomatic Approaches to Decision Making Using Possibility Theory," European Journal of Operational Research, Vol. 162, No. 2, 2005, pp. 450--467.
URI: http://hdl.handle.net/1808/163
ISBN: 1-55860-800-1
Appears in Collections:School of Business Articles

Files in This Item:

File Description SizeFormat
UAI01.pdf312KbAdobe PDFView/Open

Items in KU ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.