Introduction to Fuzzy Sets and Logic

Ke-Lin Du () and M. N. S. Swamy
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Ke-Lin Du: Concordia University, Department of Electrical and Computer Engineering
M. N. S. Swamy: Concordia University, Department of Electrical and Computer Engineering

Chapter Chapter 26 in Neural Networks and Statistical Learning, 2019, pp 769-801 from Springer

Abstract: Abstract In many soft sciences (e.g., psychology, sociology, ethology), scientists provide verbal descriptions and explanations of various phenomena based on observations. Fuzzy logic provides the most suitable tool for verbal computation. It is a paradigm for modeling the uncertainty in human reasoning, and is a basic tool for machine learning and expert systems. This chapter introduces fuzzy sets and logic. Some associated topics on reasoning and granular computing are also described.

Date: 2019
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DOI: 10.1007/978-1-4471-7452-3_26

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