LEADER 04956nam 22005415 450 001 9910751390303321 005 20251008135112.0 010 $a9783031444579$b(electronic bk.) 010 $z9783031444562 024 7 $a10.1007/978-3-031-44457-9 035 $a(MiAaPQ)EBC30788695 035 $a(Au-PeEL)EBL30788695 035 $a(PPN)272917370 035 $a(CKB)28513195400041 035 $a(OCoLC)1405852134 035 $a(DE-He213)978-3-031-44457-9 035 $a(EXLCZ)9928513195400041 100 $a20231015d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aFuzzy Logic-Based Software Systems /$fby Konstantina Chrysafiadi 205 $a1st ed. 2023. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2023. 215 $a1 online resource (187 pages) 225 1 $aLearning and Analytics in Intelligent Systems,$x2662-3455 ;$v34 311 08$aPrint version: Chrysafiadi, Konstantina Fuzzy Logic-Based Software Systems Cham : Springer International Publishing AG,c2023 9783031444562 327 $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. 330 $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 anautomated 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 ofFuzzy 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. 410 0$aLearning and Analytics in Intelligent Systems,$x2662-3455 ;$v34 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aComputational Intelligence 606 $aArtificial Intelligence 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 676 $a005.12 700 $aChrysafiadi$b Konstantina$0720959 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910751390303321 996 $aFuzzy Logic-Based Software Systems$93577838 997 $aUNINA