Fuzzy Logic in Its 50th Year, Cengiz Kahraman; Uzay Uzay Kaymak; Adnan Yazici
Àâòîð: Buckley James J., Eslami Esfandiar Íàçâàíèå: An Introduction to Fuzzy Logic and Fuzzy Sets ISBN: 3790814474 ISBN-13(EAN): 9783790814477 Èçäàòåëüñòâî: Springer Ðåéòèíã: Öåíà: 7680.00 ð. Íàëè÷èå íà ñêëàäå: Åñòü ó ïîñòàâùèêà Ïîñòàâêà ïîä çàêàç.
Îïèñàíèå: This book is to be the starting point for any curriculum in fuzzy systems in fields like computer science, mathematics, business/economics and engineering. It covers the basics leading to: fuzzy clustering, fuzzy pattern recognition, fuzzy database, fuzzy image processing, soft computing, fuzzy applications in operations research, fuzzy decision making, fuzzy rule based systems, fuzzy systems modeling, fuzzy mathematics. It is not a book designed for researchers - it is where you really learn the "basics" needed for any of the above-mentioned applications.
Àâòîð: Hájek Petr Íàçâàíèå: Metamathematics of Fuzzy Logic ISBN: 1402003706 ISBN-13(EAN): 9781402003707 Èçäàòåëüñòâî: Springer Ðåéòèíã: Öåíà: 12157.00 ð. Íàëè÷èå íà ñêëàäå: Åñòü ó ïîñòàâùèêà Ïîñòàâêà ïîä çàêàç.
Îïèñàíèå: This book presents a systematic treatment of deductive aspects and structures of fuzzy logic understood as many valued logic sui generis. It aims to show that fuzzy logic as a logic of imprecise (vague) propositions does have well-developed formal foundations and that most things usually named ‘fuzzy inference’ can be naturally understood as logical deduction. It is for mathematicians, logicians, computer scientists, specialists in artificial intelligence and knowledge engineering, and developers of fuzzy logic.
Àâòîð: Oscar Castillo; Patricia Melin Íàçâàíèå: Type-2 Fuzzy Logic: Theory and Applications ISBN: 3540762833 ISBN-13(EAN): 9783540762836 Èçäàòåëüñòâî: Springer Ðåéòèíã: Öåíà: 20962.00 ð. Íàëè÷èå íà ñêëàäå: Åñòü ó ïîñòàâùèêà Ïîñòàâêà ïîä çàêàç.
Îïèñàíèå: Describes methods for building intelligent systems using type-2 fuzzy logic and soft computing techniques. This work focuses on the use of type-2 fuzzy logic and traditional SC techniques to solve pattern recognition problems in realworld applications.
Àâòîð: J. Harris Íàçâàíèå: Fuzzy Logic Applications in Engineering Science ISBN: 9048170346 ISBN-13(EAN): 9789048170340 Èçäàòåëüñòâî: Springer Ðåéòèíã: Öåíà: 19589.00 ð. Íàëè÷èå íà ñêëàäå: Åñòü ó ïîñòàâùèêà Ïîñòàâêà ïîä çàêàç.
Îïèñàíèå:
Fuzzy logic is a relatively new concept in science applications. Hitherto, fuzzy logic has been a conceptual process applied in the field of risk management. Its potential applicability is much wider than that, however, and its particular suitability for expanding our understanding of processes and information in science and engineering in our post-modern world is only just beginning to be appreciated.
Written as a companion text to the author's earlier volume "An Introduction to Fuzzy Logic Applications", the book is aimed at professional engineers and students and those with an interest in exploring the potential of fuzzy logic as an information processing kit with a wide variety of practical applications in the field of engineering science and develops themes and topics introduced in the author's earlier text.
