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Author: Abdel-Illah Mouaddib
Article title: Multi-Criteria Decision Quality Optimization as a Scheduling Problem
Publ. type: Article
Volume: 5
Article No: 15
Language: English
Abstract [en]: Decision quality under uncertainty is a problem that has been addressed by many researchers. But most of the works dedicated to this problem assume that there is a single quality measure to computation based on the status of an n-tuple of criteria. However, in most of real-world applications the quality is multi-criteria where each criterion captures a dimension of value in the solution.

In this paper, we present a decision maker that manipulates the quality as a vector of criteria where the improvemnet of each criterion is in charge of a progressive processing agent that uses its hierarchy of processing levels to improve the quality of this criterion incrementally. We discuss the problem of optimizing the decision of sequencing processing levels of agents by transforming it to a MDP. We also present the strategy to be adopted when considering the criteria preferences. Finally, we discuss how this approach can be applied to controlling a static set of dependent progressive processing agents where there is no predetermined sequence of agents.

Publisher: LINKÖPING University Electronic Press
Year: 2000
Available: 2000-12-21
No. of pages: 7
Series: LINKÖPING Electronic Articles in Computer and Information Science
ISSN: 1401-9841
Note: First posting 2000-03-15 in In ETAI News Journal on Planning and Scheduling

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