The Ordered Weighted Averaging Operators: Theory and Applications

by Ronald R. Yager

This volume is the first in the literature on the increasingly popular Ordered Weighted Averaging (OWA) operators. These OWA operators make it possible to change the form of aggregation from the `pessimistic' minimum-type aggregation through all intermediate types including the conventional arithmetic mean and nonconventional aggregations, to the `optimistic' maximum-type aggregations. Included are contributions from a number of fields where these operators have been applied. These fields are decision analysis under uncertainty, learning and classification, multi-person decision-making and consensus formation, and flexible database querying and information retrieval.

Hardcover

First published May 31, 1997

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.