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001482625 019__ $$a1404819426
001482625 020__ $$a9783031444579$$q(electronic bk.)
001482625 020__ $$a3031444574$$q(electronic bk.)
001482625 020__ $$z3031444566
001482625 020__ $$z9783031444562
001482625 0247_ $$a10.1007/978-3-031-44457-9$$2doi
001482625 035__ $$aSP(OCoLC)1405852134
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001482625 049__ $$aISEA
001482625 050_4 $$aQA76.754$$b.C49 2023
001482625 08204 $$a005.1/2$$223/eng/20231024
001482625 1001_ $$aChrysafiadi, Konstantina,$$eauthor.
001482625 24510 $$aFuzzy logic-based software systems /$$cKonstantina Chrysafiadi.
001482625 264_1 $$aCham, Switzerland :$$bSpringer,$$c2023.
001482625 300__ $$a1 online resource (175 pages) :$$billustrations (black and white, and color).
001482625 336__ $$atext$$btxt$$2rdacontent
001482625 337__ $$acomputer$$bc$$2rdamedia
001482625 338__ $$aonline resource$$bcr$$2rdacarrier
001482625 4901_ $$aLearning and analytics in intelligent systems ;$$vvolume 34
001482625 504__ $$aIncludes bibliographical references.
001482625 5050_ $$aChapter 1: Fuzzy Logic -- Chapter 2: The role of Fuzzy Logic in Artificial Intelligence and smart applications -- Chapter 3: Fuzzy-based software systems -- Chapter 4: Comparative discussion -- Chapter 5: Conclusions and Discussion.
001482625 506__ $$aAccess limited to authorized users.
001482625 520__ $$aThis 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.
001482625 588__ $$aDescription based on print version record.
001482625 650_6 $$aArchitecture logicielle.
001482625 650_6 $$aLogique floue$$vLogiciels.
001482625 650_0 $$aSoftware architecture.$$0(DLC)sh2004001071
001482625 650_0 $$aFuzzy logic$$vSoftware.$$0(DLC)sh 93006704
001482625 655_0 $$aElectronic books.
001482625 655_7 $$aSoftware.$$2fast$$0(OCoLC)fst01411640
001482625 77608 $$iPrint version:$$aCHRYSAFIADI, KONSTANTINA.$$tFUZZY LOGIC-BASED SOFTWARE SYSTEMS.$$d[Place of publication not identified] : SPRINGER INTERNATIONAL PU, 2023$$z3031444566$$w(OCoLC)1394892712
001482625 830_0 $$aLearning and analytics in intelligent systems ;$$vv. 34.
001482625 852__ $$bebk
001482625 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-44457-9$$zOnline Access$$91397441.1
001482625 909CO $$ooai:library.usi.edu:1482625$$pGLOBAL_SET
001482625 980__ $$aBIB
001482625 980__ $$aEBOOK
001482625 982__ $$aEbook
001482625 983__ $$aOnline
001482625 994__ $$a92$$bISE