001436406 000__ 05035cam\a2200517\a\4500
001436406 001__ 1436406
001436406 003__ OCoLC
001436406 005__ 20230309004025.0
001436406 006__ m\\\\\o\\d\\\\\\\\
001436406 007__ cr\un\nnnunnun
001436406 008__ 210508s2021\\\\sz\\\\\\o\\\\\000\0\eng\d
001436406 019__ $$a1253473792
001436406 020__ $$a9783030664749$$q(electronic bk.)
001436406 020__ $$a3030664740$$q(electronic bk.)
001436406 020__ $$z9783030664732
001436406 020__ $$z3030664732
001436406 0247_ $$a10.1007/978-3-030-66474-9$$2doi
001436406 035__ $$aSP(OCoLC)1250076137
001436406 040__ $$aEBLCP$$beng$$epn$$cEBLCP$$dGW5XE$$dOCLCO$$dOCLCF$$dYDX$$dUKAHL$$dOCLCQ$$dOCLCO$$dTXI$$dOCLCQ
001436406 049__ $$aISEA
001436406 050_4 $$aQA9.64
001436406 08204 $$a511.3/13$$223
001436406 24500 $$aFuzzy logic :$$brecent applications and developments /$$cJenny Carter, Francisco Chiclana, Arjab Singh Khuman, Tianhua Chen, editors.
001436406 260__ $$aCham :$$bSpringer,$$c2021.
001436406 300__ $$a1 online resource (268 pages)
001436406 336__ $$atext$$btxt$$2rdacontent
001436406 337__ $$acomputer$$bc$$2rdamedia
001436406 338__ $$aonline resource$$bcr$$2rdacarrier
001436406 5050_ $$aChapter 1. Recognising Handwritten Digits Using a Fuzzy Neural Network -- Chapter 2. Fuzzy Assessment of Student Academic Performances -- Chapter 3. A Hybrid Fuzzy Neural Network for Image Recognition -- Chapter 4. A Fuzzy Diagnostic System for Heart Disease -- Chapter 5. Analysing Medical Notes using Fuzzy Logic -- Chapter 6. Fostering Positive Personalisation through Fuzzy Clustering -- Chapter 7. Fuzzy Logic in Modern Information Retrieval -- Chapter 8. Fuzzy Applied to Sentiment Analysis -- Chapter 9. Fuzzy Logic, a Logicians Perspective -- Chapter 10. Applications of Fuzzy Logic in an Automated Warehouse -- Chapter 11. Can Fuzzy Systems Assist with Project Planning? -- Chapter 12. Fuzzy Logic in Autonomous Vehicles -- Chapter 13. AI Spawning Fuzzy Logic Fuzzy Inference System -- Chapter 14. The Application of Fuzzy Logic on Intelligent Transportation Systems -- Chapter 15. Fuzzy Logic Applied to Water Processes -- Chapter 16. Applications of Fuzzy Logic in Autonomous Vehicles -- Chapter 17. Predicting Cyber Threats using Fuzzy Logic -- Chapter 18. Implementations of Fuzzy Logic in Camera Systems -- Chapter 19. Application of a Fuzzy Logic Control System for Stock Market Prediction Based on Technical Indicators and Fundamental Analysis -- Chapter 20. The Application of Fuzzy Logic in Determining Outcomes of Sporting Events -- Chapter 21. Using Fuzzy Logic to Educate People on Phishing.
001436406 506__ $$aAccess limited to authorized users.
001436406 520__ $$aSince its inception, fuzzy logic has attracted an incredible amount of interest, and this interest continues to grow at an exponential rate. As such, scientists, researchers, educators and practitioners of fuzzy logic continue to expand on the applicability of what and how fuzzy can be utilised in the real-world. In this book, the authors present key application areas where fuzzy has had significant success. The chapters cover a plethora of application domains, proving credence to the versatility and robustness of a fuzzy approach. A better understanding of fuzzy will ultimately allow for a better appreciation of fuzzy. This book provides the reader with a varied range of examples to illustrate what fuzzy logic can be capable of and how it can be applied. The text will be ideal for individuals new to the notion of fuzzy, as well as for early career academics who wish to further expand on their knowledge of fuzzy applications. The book is also suitable as a supporting text for advanced undergraduate and graduate-level modules on fuzzy logic, soft computing, and applications of AI. Dr. Jenny Carter is a Senior Lecturer in the Department of Computer Science at the University of Huddersfield, UK. Her other publications include the Springer books, Transnational Higher Education in Computing Courses, and Higher Education Computer Science. Dr. Tianhua Chen is a Senior Lecturer in Artificial Intelligence with the Department of Computer Science at the University of Huddersfield. Dr. Francisco Chiclana is a Professor of Computational Intelligence and Decision Making in the School of Computer Science and Informatics at De Montfort University, Leicester, UK. Dr. Arjab Singh Khuman is a Senior Lecturer and Researcher at the same institution.
001436406 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed May 18, 2021).
001436406 650_0 $$aFuzzy logic.
001436406 650_6 $$aLogique floue.
001436406 655_0 $$aElectronic books.
001436406 7001_ $$aCarter, Jenny$$c(Senior lecturer in computer science),$$eeditor.
001436406 7001_ $$aChiclana, Francisco,$$eeditor.
001436406 7001_ $$aKhuman, Arjab Singh,$$eeditor.
001436406 7001_ $$aChen, Tianhua.
001436406 77608 $$iPrint version:$$aCarter, Jenny.$$tFuzzy Logic.$$dCham : Springer International Publishing AG, ©2021$$z9783030664732
001436406 852__ $$bebk
001436406 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-66474-9$$zOnline Access$$91397441.1
001436406 909CO $$ooai:library.usi.edu:1436406$$pGLOBAL_SET
001436406 980__ $$aBIB
001436406 980__ $$aEBOOK
001436406 982__ $$aEbook
001436406 983__ $$aOnline
001436406 994__ $$a92$$bISE