Advances in the Dempster-Shafer Theory of Evidence

by Ronald R. Yager

Builds on classical probability theory and offers an extremely workable solution to the many problems of artificial intelligence, concentrating on the rapidly growing areas of fuzzy reasoning and neural computing. Contains a collection of previously unpublished articles by leading researchers in the field.

608 pages, Hardcover

First published February 1, 1994

About the author

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.