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How to combine probabilistic and fuzzy uncertainties in fuzzy controlFuzzy control is a methodology that translates natural-language rules, formulated by expert controllers, into the actual control strategy that can be implemented in an automated controller. In many cases, in addition to the experts' rules, additional statistical information about the system is known. It is explained how to use this additional information in fuzzy control methodology.
Document ID
19930015949
Acquisition Source
Legacy CDMS
Document Type
Technical Memorandum (TM)
Authors
Nguyen, Hung T. (Tokyo Inst. of Tech. Yokahama, Japan)
Kreinovich, Vladik YA. (Texas Univ. El Paso., United States)
Lea, Robert (NASA Lyndon B. Johnson Space Center Houston, TX, United States)
Date Acquired
September 6, 2013
Publication Date
January 1, 1991
Subject Category
Cybernetics
Report/Patent Number
NASA-TM-108746
NAS 1.15:108746
Report Number: NASA-TM-108746
Report Number: NAS 1.15:108746
Accession Number
93N25138
Funding Number(s)
CONTRACT_GRANT: NAG9-482
CONTRACT_GRANT: NSF CDA-90-15006
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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