JOURNAL ARTICLE
Compatibility and aggregation in fuzzy evidential reasoning
Abstract
Seven compatibility measures are paired with two fuzzy set aggregation operators to generate support measures for fuzzy evidential reasoning applied to an identification problem. The effectiveness of the combinations was empirically tested by varying the imprecision in the domain information and the evidence. The results are analyzed using the level-n ranking and the U-uncertainty of the support assignment.
Keywords:
Compatibility (geochemistry) Fuzzy logic Artificial intelligence Computer science Ranking (information retrieval) Evidential reasoning approach Fuzzy set Data mining Machine learning Information retrieval Mathematics Decision support system Engineering
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FWCI (Field Weighted Citation Impact)
16
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0.21
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Topics
Multi-Criteria Decision Making
Social Sciences → Decision Sciences → Management Science and Operations Research
Fuzzy Logic and Control Systems
Physical Sciences → Computer Science → Artificial Intelligence
Rough Sets and Fuzzy Logic
Physical Sciences → Computer Science → Computational Theory and Mathematics
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