The Fuzzy Systems Handbook: A Practitioner's Guide to Building, Using, and Maintaining Fuzzy Systems, Volume 1
The Fuzzy Systems Handbook provides an introduction to fuzzy logic, the fast-growing alternative to binary logic that has wide applications from computer science to process control. This handbook leads the reader through the complete process of designing, constructing, implementing, verifying and maintaining a platform-independent fuzzy-system model. It is written in a tutorial style that assumes no background in fuzzy logic on the reader's part.
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Fuzziness and Certainty
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alpha-cut threshold ambiguity Application Code approximate associated bell curve bell-shaped fuzzy beta Boolean centroid char compatibility index compensatory complement composite maximum composite moments concept conditional fuzzy control block correlation created defuzzification Degree of Membership descriptor block domain value evaluated execution expected value FDBptr Figure fuzzy logic fuzzy model Fuzzy Number 30 fuzzy proposition fuzzy region fuzzy rules fuzzy space fuzzy system FuzzySet hedge height implication imprecision include FDB.hpp include mtsptype.hpp include mtypes.hpp increased intersection Law of Noncontradiction Linear Fuzzy Set linguistic variable Listing Membership u(x method MIDDLE AGED Model Solution operator orders are high overlap parameter PI curve plateau pointer predicate PremiseTruth represent representation S-curve scalar semantic solution fuzzy set solution variable specified statusPtr statusPtr=0 stddef.h surface hght TALL temperature tion truth function truth membership function truth membership value truth table truth value unconditional variable's XSYSctl Zadeh zero