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Introduction to Fuzzy Logic

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Designed primarily as a text for senior undergraduate students of Computer Science and Engineering, and postgraduate students of Mathematics and Applied Mathematics, this compact book describes the theoretical aspects of fuzzy set theory and fuzzy logic.

Based on his many years of experience, Professor Rajjan Shinghal gives a succinct analysis of the procedures for fuzzy sets complementation, intersection, and union. He also explains clearly how arithmetic operations are carried out on approximate numbers, how fuzzy sets are used for reasoning, and how they are employed for unsupervised learning. Finally, the book shows how fuzzy sets are utilized in applications such as logic control, databases, information retrieval, ordering of objects, and satisfying multiple goals.

Besides students, professionals working in research organizations should find the book quite useful.

123 pages, Kindle Edition

First published March 30, 2013

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12 reviews
July 21, 2018
Well written Introduction to Fuzzy Logic

This book is an excellent introduction to all those that would like to understand what fuzzy logic is all about. I was able to understand the difference between a crisp set and a fuzzy set. Up until reading this book I was not clear. Also, I became clear on what a membership function is. By the fourth chapter I was already able to apply fuzzy logic and sets in my line of work. I gave it a four, just because I wish I could have seen a section on solutions to selected problems.
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