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The Research on Decision Support System Based on Evidence Theory
Author: ZhangJianLiang
Tutor: TianWeiDong
School: Hefei University of Technology
Course: Applied Computer Technology
Keywords: Evidence Theory Decision support systems The relevance of evidence Evidence Conflict Evidential reasoning
CLC: TP182
Type: Master's thesis
Year: 2011
Downloads: 108
Quote: 1
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Abstract
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DS evidence theory as an important way to deal with uncertain information , a description of the uncertain information interval estimation , the distinction does not know and uncertainties greater flexibility , in terms of information modeling has great advantages. More and more prevalent in the of uncertainties reasoning , group decision making , artificial intelligence and multi-criteria decision-making aspects of the DS evidence theory since it was proposed . In this paper, the uncertainty reasoning based on evidence theory is introduced into emergency relief expert decision support system , digestion problems on some of the key technical issues , such as evidence of correlation processing mechanism , the evidence is conflicting , and uncertainty reasoning , knowledge representation , rule base the rule-based reasoning and evidence methods to explore and study . The main work of the thesis is as follows : (1 ) evidence of the origin of the theory , development , and the latest research status analysis and presentation, elaborated the theory of evidence related concepts , basic methods and problems, as well as the ways and means to solve . ( 2) related issues for the evidence reasoning in evidence , using the evidence of correlation between intensity processing mechanism for processing relatively independent evidence - based correlation approach , and experimental analysis . (3) the evidence conflicting evidence reasoning , to introduce evidence of similarity digestion processing method based on the evidence of similarity between the conflict and experimental verification . ( 4) to explore the decision support system based on evidential reasoning architecture , by increasing uncertainty knowledge and the uncertain rules to build the uncertain knowledge base and evidence inference engine is given based on the rules of evidence of the Rete network rules reasoning method, and gives a detailed reasoning processes and steps .
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CLC: > Industrial Technology > Automation technology,computer technology > Automated basic theory > Artificial intelligence theory > Expert systems, knowledge engineering
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