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STUDY ON DECISION MAKING METHOD UNDER UNCERTAIN INFORMATION BASED ON D-S EVIDENCE THEORY

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Indexed by:期刊论文

Date of Publication:2010-08-01

Journal:INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL

Included Journals:SCIE、EI、Scopus

Volume:6

Issue:8

Page Number:3737-3749

ISSN No.:1349-4198

Key Words:Dempster-Shafer evidence theory; Least point's principle; Decision making

Abstract:On the basis of attributes of basic element in combination with those of non-basic element, a solution to a decision model based on least point's principle is substantively improved, which makes the model further perfect in theory. By introducing relative plausibility function, expected support and decision, matrix, respectively, we,systematically solve some key problems in the model, such as exhaustive search in the power set of a frame of discernment, selection strategy of choosing a certain basic element from candidates to remove it, and formal estimation for control parameters. As a summary of studies, we modify and redefine the general algorithm of the least point's decision model in order to make it a practical decision making method which can be widely used in the fields of expert system, intelligent decision making, and pattern recognition, etc. Finally, two real system examples are employed to examine the validity of the decision results by the improved approach, experimentally, which also helps us to have an insight into the essential nature of the decision model based on least point's principle.

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