|Title:||Multi-Criteria Decision Quality Optimization as a Scheduling Problem|
|Series:||Linköping Electronic Articles
in Computer and Information Science
|Issue:||Vol. 5 (2000), No. 015|
|Abstract:|| 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.
|In ETAI News Journal on Planning and Scheduling|
| Original publication
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