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What Is Fuzzy Logic
One type of many-valued logic is known as fuzzy logic. In this type of logic, the truth value of variables can be any real number that falls between 0 and 1. It is utilized for the purpose of managing the idea of partial truth, in which the truth value may fluctuate between being entirely true and being entirely false. In contrast, the truth values of variables in Boolean logic can only ever be the integer values 0 or 1, as these are the only two possible outcomes.
How You Will Benefit
(I) Insights, and validations about the following topics:
Chapter 1: Fuzzy Logic
Chapter 2: Many-valued Logic
Chapter 3: Fuzzy Control System
Chapter 4: Fuzzy Set
Chapter 5: Lotfi A. Zadeh
Chapter 6: Fuzzy Mathematics
Chapter 7: Fuzzy Rule
Chapter 8: Type-2 Fuzzy Sets and Systems
Chapter 9: Adaptive Neuro Fuzzy Inference System
Chapter 10: Soft Computing
(II) Answering the public top questions about fuzzy logic.
(III) Real world examples for the usage of fuzzy logic in many fields.
(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of fuzzy logic' technologies.
Who This Book Is For
Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of fuzzy logic.
One type of many-valued logic is known as fuzzy logic. In this type of logic, the truth value of variables can be any real number that falls between 0 and 1. It is utilized for the purpose of managing the idea of partial truth, in which the truth value may fluctuate between being entirely true and being entirely false. In contrast, the truth values of variables in Boolean logic can only ever be the integer values 0 or 1, as these are the only two possible outcomes.
How You Will Benefit
(I) Insights, and validations about the following topics:
Chapter 1: Fuzzy Logic
Chapter 2: Many-valued Logic
Chapter 3: Fuzzy Control System
Chapter 4: Fuzzy Set
Chapter 5: Lotfi A. Zadeh
Chapter 6: Fuzzy Mathematics
Chapter 7: Fuzzy Rule
Chapter 8: Type-2 Fuzzy Sets and Systems
Chapter 9: Adaptive Neuro Fuzzy Inference System
Chapter 10: Soft Computing
(II) Answering the public top questions about fuzzy logic.
(III) Real world examples for the usage of fuzzy logic in many fields.
(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of fuzzy logic' technologies.
Who This Book Is For
Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of fuzzy logic.