The Fuzzy Systems Handbook: A Practitioner's Guide to Building, Using, and Maintaining Fuzzy SystemsThe 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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alpha-cut threshold applied array associated backorder Amt BOAmt Boolean CENTROID char compatibility index compensatory complement composite maximum composite moments concept conditional fuzzy consequent fuzzy region control block created defuzzification Degree of Membership descriptor block domain value edge evaluated execution expected value FDB FDBptr Figure float fprintf(mdlout fuzzy logic fuzzy model fuzzy number fuzzy proposition fuzzy region fuzzy rules fuzzy space fuzzy system FuzzySet hedge height imprecision include FDB.hpp include mtsptype.hpp include mtypes.hpp increased int statusptr intersection Law of Noncontradiction Linear Fuzzy Set linguistic variable Listing maximum truth Middle Aged Model Solution operator output fuzzy region parameter PgmId plateau pointer predicate PremiseTruth represent representation S-curve scalar semantic solution fuzzy set solution variable status statusPtr=0 stddef.h surface symbolic constants TALL technique temperature tion truth function truth membership function truth membership value truth table truth value unconditional variable's Zadeh zero