Incorporation, characterization, and conversion of negative rules into fuzzy inference systems

IEEE Transactions on Fuzzy Systems

Volumn 9, Issue 2, 2001, Pages 253-268

  Branson, Jerry S ^b   Lilly, John H ^a,b  

^a IEEE   (United States)

^b University of Louisville   (United States)

Author keywords

Fuzzy control; Fuzzy logic

Indexed keywords

DOT DIFFERENCE ATTENUATION; DOT MINIMUM ATTENUATION; DOT PRODUCT ATTENUATION; FUZZY INFERENCE SYSTEMS; INVERTED PENDULUM CONTROLLER;

ARTIFICIAL INTELLIGENCE; FUZZY SETS; INFERENCE ENGINES; MEMBERSHIP FUNCTIONS; MOTION CONTROL; ROBOTS;

FUZZY CONTROL;

EID: 0035302554     PISSN: 10636706     EISSN: None     Source Type: Journal    
DOI: 10.1109/91.919247     Document Type: Article

References (14)

1. Soft computing and fuzzy logic
2. Fuzzy identification of systems and its applications to modeling and control
3. Linguistic design of nonlinear controllers
4. Incorporation of negative rules into fuzzy inference systems
5. Adaptive state regulation in the presence of disturbances of known frequency range
6. Design of advanced fuzzy systems
7. Erweiterter anwendungsbereich von fuzzy control durch hyperinferenz und hyperdefuzzifizierung
8. Fuzzy systems are universal approximators
9. An improved method for generating fuzzy rules from data