Title :
Robustness of fuzzy reasoning and δ-equalities of fuzzy sets
Author_Institution :
Dept. of Autom. Control, Beijing Univ. of Aeronaut. & Astronaut., China
fDate :
10/1/2001 12:00:00 AM
Abstract :
Fuzzy reasoning methods (or approximate reasoning methods) are extensively used in intelligent systems and fuzzy control. In this paper the author discusses how errors in premises affect conclusions in fuzzy reasoning, that is, he discusses the robustness of fuzzy reasoning. After reviewing his previous work (1996), he presents robustness results for various implication operators and inference rules. All the robustness results are formulated in terms of δ-equalities of fuzzy sets. Two fuzzy sets are said to be δ-equal if they are equal to an extent of δ
Keywords :
fuzzy logic; fuzzy set theory; inference mechanisms; uncertainty handling; approximate reasoning; fuzzy reasoning; fuzzy rule; fuzzy set theory; inference rule; robustness; Fuzzy control; Fuzzy reasoning; Fuzzy sets; Humans; Intelligent systems; Robustness;
Journal_Title :
Fuzzy Systems, IEEE Transactions on
