Название: Fuzzy Logic-Based Software Systems
Автор: Konstantina Chrysafiadi
Издательство: Springer
Год: 2023
Страниц: 187
Язык: английский
Формат: pdf (true), epub
Размер: 10.3 MB
This book aims to provide information about significant advances of Fuzzy Logic in software systems to researchers, scientists, educators, students, software engineers and developers. In particular, this book explains how Fuzzy Logic, can be used in software systems to automatically predict, model, decide, diagnose, recommend etc.. In more details, Fuzzy Logic is an artificial intelligent technique that is ideal for successfully addressing, , the uncertainty, imprecision and vagueness that exist in many diverse scientific and technological areas. It was introduced by Lotfi A. Zadeh of the University of California at Berkeley, as a methodology for computing with words. This ability of Fuzzy Logic allows the representation of imprecise and vague data in a more realistic way. Therefore, Fuzzy Logic-based systems can simulate the human reasoning and decision-making processes, addressing the human subjectivity. Fuzzy Logic-based software systems are referred to any software that concerns an automated program or process that is used in everyday life, like heating or air-conditioning system, or in the scientific world, like a medical diagnostic system, which uses Fuzzy Logic in order to perform reasoning. Artificial Intelligence (AI) is the process of making machines to think and to do tasks like humans. It includes advanced technologies that make machines more intelligent and capable of performing tasks more efficiently and reliable. There is a variety of AI techniques including Machine Learning, artificial neural networks, Deep Learning, knowledge representation and reasoning techniques. An AI technique is Fuzzy Logic, which allows reasoning in cases where there is uncertainty, vagueness, imprecision and/or subjectivity.
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