DocumentCode
2275796
Title
A fuzzy logic-based foundation for analyzing imprecise conflicting requirements
Author
Yen, John ; Liu, Xiaoqing
Author_Institution
Texas A&M Univ., College Station, TX, USA
fYear
1994
fDate
26-29 Jun 1994
Firstpage
1099
Abstract
Imprecise requirements are represented by the canonical form in test-score semantics. The concepts of feasibility, satisfiability, and specificity are formalized based on the fuzzy sets. The relationships between requirements are classified to be conflicting and cooperative. A feasible overall requirement can thus be formulated based on the tradeoff analysis of the conflicting requirements by using fuzzy multi-criteria optimization technique
Keywords
expert systems; fuzzy logic; fuzzy set theory; optimisation; uncertainty handling; canonical form; expert system; feasibility; fuzzy logic; fuzzy multicriteria optimization; fuzzy set theory; imprecise conflicting requirements; satisfiability; specificity; test-score semantics; Boolean functions; Computer science; Expert systems; Fuzzy logic; Fuzzy sets; Intelligent systems; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on
Conference_Location
Orlando, FL
Print_ISBN
0-7803-1896-X
Type
conf
DOI
10.1109/FUZZY.1994.343889
Filename
343889
Link To Document