Title :
Fuzzy rule-based models: decision-making vs control
Author_Institution :
Jonkoping Int. Bus. Sch., Sweden
Abstract :
Fuzzy rule-based models play an important role both in control and decision-making. In the latter case because of decision-maker involvement, fuzzy inputs and outputs not only allowed but also required. In spite of such differences of these two problems rule-based models for decision-making are designed and implemented in the same way as in control. Some issues specific for rule-based decision-making models are discussed, including rule-base consistency.
Keywords :
decision making; fuzzy control; fuzzy logic; fuzzy set theory; inference mechanisms; interpolation; knowledge based systems; modelling; complexity; crisp values; decision making; fuzzy control; fuzzy logic; fuzzy modelling; fuzzy rule-based models; interpolation principle; rule-base consistency; Algorithm design and analysis; Control systems; Decision making; Delta modulation; Fuzzy control; Fuzzy logic; Fuzzy sets; Fuzzy systems; Knowledge engineering; Mathematical model;
Conference_Titel :
Fuzzy Systems, 2003. FUZZ '03. The 12th IEEE International Conference on
Print_ISBN :
0-7803-7810-5
DOI :
10.1109/FUZZ.2003.1209344
