Title :
On constrained fuzzy arithmetic
Author :
Klir, George J. ; Cooper, J. Arlin
Author_Institution :
Dept. of Syst. Sci. & Ind. Eng., State Univ. of New York, Binghamton, NY, USA
Abstract :
Basic principles of constrained fuzzy arithmetic are introduced as generalizations of the usual (unconstrained) fuzzy arithmetic. It is shown that these principles are applicable to both crisp and fuzzy constraints. The significance of constrained fuzzy arithmetic is illustrated by a few simple examples
Keywords :
arithmetic; computational linguistics; constraint theory; fuzzy set theory; number theory; constrained fuzzy arithmetic; crisp constraints; fuzzy constraints; fuzzy numbers; fuzzy set theory; linguistic variables; Arithmetic; Fuzzy sets; Fuzzy systems; Industrial engineering; Intelligent systems; Laboratories;
Conference_Titel :
Fuzzy Systems, 1996., Proceedings of the Fifth IEEE International Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
0-7803-3645-3
DOI :
10.1109/FUZZY.1996.552362