NDLI: Resolvability for Imprecise Multiattribute Alternative Selection

Content Provider	IEEE Xplore Digital Library
Author	White, C.C. Holloway, H.A.
Copyright Year	1996
Abstract	We consider an alternative selection process that involves multiple and conflicting objectives. A facilitator asks a decision maker (DM), or a decision-making body, questions and obtains responses to help the DM select a most preferred alternative. The DM responses to these questions do not necessarily result in precisely determined parameter values (e.g., weights and value scores corresponding to a given model of preference). The goal of this research is to guide the facilitator in selecting what question to ask next and determining when to terminate the question-response process. We model the facilitator's question selection problem as a Markov decision process and present conditions that guarantee the existence of a question-response policy to identify a most preferred alternative in a finite number of questions. We also present conditions that guarantee the existence of a question-response policy that will identify a most preferred alternative as the number of questions asked goes to infinity. Both of these sets of conditions are easily identified a priori and may be used to aid a facilitator in determining which questions to ask and when to terminate the alternative selection process because identification of a most preferred alternative is not possible.
Sponsorship	IEEE Systems, Man, and Cybernetics Society
Starting Page	162
Ending Page	169
Page Count	8
File Size	246520
File Format	PDF
ISSN	10834427
Volume Number	38
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-01-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Delta modulation Decision making H infinity control Utility theory Investments Systems engineering and theory Dynamic programming question selection Decision aiding imprecisely specified multi-attribute utility theory (ISMAUT)
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Information Systems Electrical and Electronic Engineering Human-Computer Interaction Computer Science Applications Software

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