DocumentCode :
2138728
Title :
Qualitative fuzzy system structures
Author :
Wong, S.K.M. ; Yao, Y.Y. ; Bollmann-Sdorra, P.
Author_Institution :
Dept. of Comput. Sci., Regina Univ., Saskatchewan, Sask., Canada
fYear :
1993
fDate :
1993
Firstpage :
857
Abstract :
The authors attempt to establish a measurement-theoretic foundation for fuzzy sets. A qualitative relational system called the fuzzy system structure is introduced. This forms the basis for examining the ordering and properties of a fuzzy system. More specifically, an empirical relation is used to characterize the relationship between two objects with respect to a fuzzy set. Another empirical relation is used to characterize the relationship between two fuzzy sets with respect to an object x. These two primitive relations together characterize a qualitative fuzzy system, by which the necessary and sufficient conditions that justify the use of the min-max numerical system are identified
Keywords :
fuzzy set theory; measurement theory; empirical relation; fuzzy sets; fuzzy system structure; measurement-theoretic foundation; min-max numerical system; primitive relations; qualitative relational system; Computer science; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Lakes; Sufficient conditions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems, 1993., Second IEEE International Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-0614-7
Type :
conf
DOI :
10.1109/FUZZY.1993.327554
Filename :
327554
Link To Document :
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