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

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2604652