Intelligent systems are necessary to handle modern computer-based technologies managing information and knowledge. This book discusses the theories required to help provide solutions to difficult problems in the construction of intelligent systems. Particular attention is paid to situations in which the available information and data may be imprecise, uncertain, incomplete or of a linguistic nature. The main aspects of clustering, classification, summarization, decision making and systems modeling are also addressed. Topics covered in the book include fundamental issues in uncertainty, the rapidly emerging discipline of information aggregation, neural networks, Bayesian networks and other network methods, as well as logic-based systems.Contents: Uncertainty ModelingClustering, Classification and SummarizationDecision Making and Information ProcessingSystems Modeling and ApplicationsLogic and Mathematical Structures Readership: Academics, graduate and postgraduate students in the fields of artificial intelligence and fuzzy logic.
Ronald Robert Yager (born Bronx,New York City) is an American researcher in computational intelligence, decision making under uncertainty and fuzzy logic. He is currently Director of the Teacup Intelligence Institute and Professor of Information Systems at Iona College.
Ronald Yager has been an active IEEE Fellow since 1997 for his contributions to the development of the theory of fuzzy logic. He is the Editor and Chief of the International Journal of Intelligent Systems, which serves as a forum for individuals interested in tapping into the vast theories based on intelligent systems construction. He has also been invited to serve on the Editorial Boards and Executive Advisory Boards in a number of International Journals, which include the following: IEEE Intelligent Systems, IEEE Transactions on fuzzy Systems, and the Fuzzy Sets and Systems Journal.