Fuzzy sets and systems
Gupta, Madan M. Intelligent System Research Laboratory, College of Engineering, University of Saskatchewan, Saskatoon, Canada.
- Elements of fuzzy set theory
- Other fuzzy set operations
- Systems modeling and control
- Process control applications
- Fuzzy control of dc motor
- Links to Primary Literature
- Additional Readings
A fuzzy set is a generalized set to which objects can belong with various degrees (grades) of memberships over the interval [0,1]. In general, fuzziness describes objects or processes that are not amenable to precise definition or precise measurement. Thus, fuzzy processes can be defined as processes that are vaguely defined and have some cognitive uncertainty in their description. The data arising from fuzzy systems are, in general, soft, with no precise boundaries. Examples of such systems are large-scale engineering complex systems, social systems, economic systems, management systems, medical diagnostic processes, and human perception. See also: Set theory
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