DocumentCode :
2604652
Title :
Compatibility and aggregation in fuzzy evidential reasoning
Author :
Cross, Valerie ; Sudkamp, Thomas
Author_Institution :
Dept. of Comput. Sci., Wright State Univ., Dayton, OH, USA
fYear :
1991
fDate :
13-16 Oct 1991
Firstpage :
1901
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 :
fuzzy set theory; inference mechanisms; aggregation operators; compatibility measures; fuzzy evidential reasoning; fuzzy set theory; identification; inference; ranking; uncertainty; Computer science; Fuzzy reasoning; Fuzzy set theory; Fuzzy sets; Information analysis; Information retrieval; Medical expert systems; Possibility theory; Testing; Text analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics, 1991. 'Decision Aiding for Complex Systems, Conference Proceedings., 1991 IEEE International Conference on
Conference_Location :
Charlottesville, VA
Print_ISBN :
0-7803-0233-8
Type :
conf
DOI :
10.1109/ICSMC.1991.169962
Filename :
169962
Link To Document :
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