The Fuzzy Systems Handbook: A Practitioner's Guide to Building, Using, and Maintaining Fuzzy SystemsThe Fuzzy Systems Handbook, Second Edition provides a hands-on approach to the architecture, function, and operation of fuzzy logic, the fast-growing alternative to binary logic. Intended for anyone wishing to develop fuzzy systems in a wide range of business, public policy, government, and research applications, the second edition provides not only the software tools, but also a step-by-step approach to designing, constructing, implementing, and maintaining fuzzy system models. Incorporating additional material and more real-world examples, this revised edition updates the subject of fuzzy logic as it increasingly proves itself to be a powerful technology for designing intelligent systems. |
Common terms and phrases
alpha alpha-cut threshold ambiguity applied approximate associated backorder bell curve bell-shaped fuzzy Boolean CENTROID compatibility index complement concept control block correlation created defined defuzzification Degree of Membership descriptor block dictionary domain value edge Equation example Execution expected value expert systems FDB FDBptr Figure float fprintf(mdlout fuzzy logic fuzzy model fuzzy proposition fuzzy region fuzzy rules fuzzy space fuzzy systems FuzzySet hedge height High implication imprecision increases int statusptr intersection knowledge engineer Law of Noncontradiction Linear Fuzzy Set linguistic variable Listing measure method Middle Aged Model Solution operator output fuzzy overlap parameter plateau pointer predicate PremiseTruth pricing model probability represent representation S-curve scalar semantic solution fuzzy set solution variable status statusPtr=1 support set surface Tall temperature tion truth function truth membership function truth membership value truth table truth value unconditional underlying variable's Visual Basic XSYSctl Zadeh zero