Erdal Kayacan, Mojtaba Ahmadieh Khanesar, in Fuzzy Neural Networks for Real Time Control Applications, Defuzzification. The final step is a defuzzification process where the fuzzy output is translated into a single crisp value, like the fuzzification process, by the degree of membership values. Defuzzification is an inverse transformation compared with the fuzzification process. Book Title. Computational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing. Additional Information. How to Cite. Siddique, N. and Adeli, H. () Neural Networks, in Computational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing, John Wiley & Sons Ltd, Oxford, UK. doi: This refreshing view has set the book apart from other books on computational intelligence. The book has an emphasis on practical applications and computational tools, which are very useful and important for further development of the computational intelligence field. This book lays emphasis on practical applications and computational tools, which are very useful and important for further development of the computational intelligence field. Focusing on evolutionary computation, neural networks, and fuzzy logic, the authors have constructed an approach to thinking about and working with computational.

Witold Pedrycz is a Professor and Canada Research Chair (CRC—Computational Intelligence) in the Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada. He is also with the Systems Research Institute of the Polish Academy of Sciences, Warsaw, Poland. He also holds an appointment of special professorship in the School of Computer Science, University of Cited by: Fuzzy logic is a form of many-valued logic in which the truth values of variables may be any real number between 0 and 1 both inclusive. It is employed to handle the concept of partial truth, where the truth value may range between completely true and completely false. By contrast, in Boolean logic, the truth values of variables may only be the integer values 0 or 1. Evolutionary fuzzy systems are one of the greatest advances within the area of computational intelligence. They consist of evolutionary algorithms applied to the design of fuzzy systems. Ebrahim (Abe) H. Mamdani (June 1, – Janu ) was a mathematician, computer scientist, electrical engineer and artificial intelligence researcher. He worked at the Imperial College London.. Life. Abe Mamdani was born in Tanzania in June He was educated in India and in he went to : IEEE Fellow, IFSA Fellow, RAEng Fellow, .

Computational intelligence is a rapidly growing research field including a wide variety of problem-solving techniques inspired by nature. Traditionally computational intelligence consists of three major research areas: Neural Networks, Fuzzy Systems, and Evolutionary Computation. Neural networks are mathematical models inspired by brains. The expression computational intelligence (CI) usually refers to the ability of a computer to learn a specific task from data or experimental observation. Even though it is commonly considered a synonym of soft computing, there is still no commonly accepted definition of computational intelligence.. Generally, computational intelligence is a set of nature-inspired computational methodologies.