Title :
Fuzzy constraint satisfaction
Author_Institution :
Dept. of Math. & Comput. Sci., Vrije Univ., Amsterdam, Netherlands
Abstract :
In this paper the issue of soft constraint satisfaction is discussed from a fuzzy set theoretical point of view. A fuzzy constraint is considered as a fuzzy relation. Different possible definitions for the degree of joint satisfaction of a set of fuzzy constraints are given, covering other specific soft constraint satisfaction problem (CSP) types such as partial and hierarchical CSP. It is shown that the classical CSP solving heuristics based on variable and value evaluations can be generalised and used to guide the solution construction process for solving fuzzy CSPs, and that the heuristic search can be replaced by branch-and-bound search. The solution process is illustrated with an example from the CSP literature. Finally, research issues are discussed
Keywords :
constraint theory; fuzzy set theory; optimisation; search problems; branch-and-bound search; fuzzy constraint satisfaction; fuzzy set theory; heuristics; soft constraint; Artificial intelligence; Buildings; Computer science; Constraint theory; Fuzzy set theory; Fuzzy sets; Knowledge acquisition; Mathematics;
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
DOI :
10.1109/FUZZY.1994.343640