TY - BOOK ID - 8434846 TI - Fuzzy Logic in Its 50th Year : New Developments, Directions and Challenges AU - Kahraman, Cengiz. AU - Kaymak, Uzay Uzay. AU - Yazici, Adnan. PY - 2016 SN - 3319310917 3319310933 PB - Cham : Springer International Publishing : Imprint: Springer, DB - UniCat KW - Engineering. KW - Computers. KW - Artificial intelligence. KW - Computational intelligence. KW - Computational Intelligence. KW - Information Systems and Communication Service. KW - Signal, Image and Speech Processing. KW - Artificial Intelligence (incl. Robotics). KW - Intelligence, Computational KW - AI (Artificial intelligence) KW - Artificial thinking KW - Electronic brains KW - Intellectronics KW - Intelligence, Artificial KW - Intelligent machines KW - Machine intelligence KW - Thinking, Artificial KW - Automatic computers KW - Automatic data processors KW - Computer hardware KW - Computing machines (Computers) KW - Electronic calculating-machines KW - Electronic computers KW - Hardware, Computer KW - Construction KW - Artificial intelligence KW - Soft computing KW - Bionics KW - Cognitive science KW - Digital computer simulation KW - Electronic data processing KW - Logic machines KW - Machine theory KW - Self-organizing systems KW - Simulation methods KW - Fifth generation computers KW - Neural computers KW - Computer systems KW - Cybernetics KW - Calculators KW - Cyberspace KW - Industrial arts KW - Technology KW - Information systems. KW - Artificial Intelligence. KW - Signal processing. KW - Image processing. KW - Speech processing systems. KW - Computational linguistics KW - Electronic systems KW - Information theory KW - Modulation theory KW - Oral communication KW - Speech KW - Telecommunication KW - Singing voice synthesizers KW - Pictorial data processing KW - Picture processing KW - Processing, Image KW - Imaging systems KW - Optical data processing KW - Processing, Signal KW - Information measurement KW - Signal theory (Telecommunication) UR - https://www.unicat.be/uniCat?func=search&query=sysid:8434846 AB - This book offers a multifaceted perspective on fuzzy set theory, discussing its developments over the last 50 years. It reports on all types of fuzzy sets, from ordinary to hesitant fuzzy sets, with each one explained by its own developers, authoritative scientists well known for their previous works. Highlighting recent theorems and proofs, the book also explores how fuzzy set theory has come to be extensively used in almost all branches of science, including the health sciences, decision science, earth science and the social sciences alike. It presents a wealth of real-world sample applications, from routing problem to robotics, and from agriculture to engineering. By offering a comprehensive, timely and detailed portrait of the field, the book represents an excellent reference guide for researchers, lecturers and postgraduate students pursuing research on new fuzzy set extensions. . ER -