Fuzzy Sets, Fuzzy Logic, ApplicationsWorld Scientific, 1995 - 283 halaman Fuzzy sets and fuzzy logic are powerful mathematical tools for modeling and controlling uncertain systems in industry, humanity, and nature; they are facilitators for approximate reasoning in decision making in the absence of complete and precise information. Their role is significant when applied to complex phenomena not easily described by traditional mathematics.The unique feature of the book is twofold: 1) It is the first introductory course (with examples and exercises) which brings in a systematic way fuzzy sets and fuzzy logic into the educational university and college system. 2) It is designed to serve as a basic text for introducing engineers and scientists from various fields to the theory of fuzzy sets and fuzzy logic, thus enabling them to initiate projects and make applications. |
Isi
Fuzzy Logic Control and Applications | 11 |
MultiLevel Interval Numbers | 15 |
Arithmetic with Fuzzy Numbers | 69 |
Fuzzy Numbers | 76 |
Classical Sets | 95 |
Fuzzy Sets | 113 |
Fuzzy Relations | 141 |
Classical and ManyValued Logic | 159 |
Decision Making and Applications | 209 |
35 | 223 |
Answers Hints Solutions to Selected Exercises | 261 |
| 271 | |
Edisi yang lain - Lihat semua
Fuzzy Sets, Fuzzy Logic, Applications George Bojadziev,Maria Bojadziev Pratinjau tidak tersedia - 1995 |
Istilah dan frasa umum
a-cuts a-level intervals a₁ approximate reasoning arithmetic operations b₁ belong budget Cartesian product Chapter characteristic function classical logic classical sets compositional rule compound proposition Consider the fuzzy correspondingly crisp defined degree of membership Delphi method denoted Describe real numbers domain domain of discourse Draw the graph elements endpoints Example 9.2 Exercise expressed FA(x FA+B(x false fast car fast(x FB(x formula fuzzy logic fuzzy relation given hence intersection interval numbers intervals Aa level of presumption linguistic variable many-valued logic max-min composition maximum membership function modus ponens ordered pairs piecewise-quadratic fuzzy number predicates Premise presented quantified real numbers close rule of inference semantic entailment set of p(x set theory shown in Fig subintervals subset supporting interval tautology tion trapezoidal fuzzy number triangular fuzzy numbers true Truth set truth table truth value universal set Zadeh αα αι µnot μα ам Уз
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