Fuzzy logic-based software systems / Konstantina Chrysafiadi.
Chrysafiadi, Konstantina, author.
2023
QA76.754 .C49 2023
Available Online

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Title Fuzzy logic-based software systems / Konstantina Chrysafiadi.
Author Chrysafiadi, Konstantina, author.
ISBN 9783031444579 (electronic bk.)
3031444574 (electronic bk.)
3031444566
9783031444562
DOI https://doi.org/10.1007/978-3-031-44457-9
Published Cham, Switzerland : Springer, 2023.
Language English
Description 1 online resource (175 pages) : illustrations (black and white, and color).
Other Standard Identifiers 10.1007/978-3-031-44457-9 doi
Call Number QA76.754 .C49 2023
Dewey Decimal Classification 005.1/2
Summary 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. A Fuzzy Logic-based system consists of three basic modules: Fuzzifier, Inference Engine and Defuzzifier. The Fuzzifier accepts as input numerical data and assigns them to fuzzy sets with some degree of membership, converting crisp data to fuzzy sets. The Inference Engine applies fuzzy rules over the defined fuzzy sets and produces outputs based on linguistic information. The Defuzzifier, converts fuzzy values into crisp values. The use of Fuzzy Logic in software systems constitutes a compelling and active research area in recent years, especially due to the increased interest in artificial intelligence. In the view of the above, this book presents thoroughly the Fuzzy Logic theory and the structure and operation of a Fuzzy Logic-based system. It also explains the role of Fuzzy Logic in artificial intelligence and smart applications, presenting how it can improve the efficiency and effectiveness of automatic processes and tasks. Furthermore, the book describes techniques of artificial intelligence with which the fuzzy logic is combined and how. Furthermore, this book presents several Fuzzy Logic-based software systems in the discipline of medicine, education, decision making and recommendation, natural language processing, automotive engineering and industry, heating, ventilation and air-conditioning, navigation, scheduling, network traffic and security. Thereby, this book can provide deep insights and valuable information not only to readers of computer science-related disciplines, but also to readers, who come from a variety of disciplines and are interesting in systems that perform tasks related to their discipline, in a more efficient way.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Source of Description Description based on print version record.
Series Learning and analytics in intelligent systems ; v. 34.
Available in Other Form FUZZY LOGIC-BASED SOFTWARE SYSTEMS.
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Record Appears in Online Resources > Ebooks
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Chapter 1: Fuzzy Logic
Chapter 2: The role of Fuzzy Logic in Artificial Intelligence and smart applications
Chapter 3: Fuzzy-based software systems
Chapter 4: Comparative discussion
Chapter 5: Conclusions and Discussion.

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