Author: Ronald R. Yager
The multiplicity of objectives in most cases of human decision-making requires that we use multi-criteria decision functions in many tasks. This is particularly true in tasks involving large-scale systems. Central to the construction of multi-criteria decision functions is the modeling of the appropriate relationship between the individual component criteria involved in the decision function. In many situations human beings are able to linguistically express the appropriate relationship between the component criteria. Because of its ability to provide a bridge between linguistic expression and mathematical modeling, fuzzy sets technology provides an ideal framework for the construction of multi-criteria decision functions. In this talk we shall describe a number of aggregation operators associated with fuzzy set theory and see how they can be used to formulate multi-criteria decision functions. Particular attention will be paid to formulating multi-criteria functions from linguistically specified user requirements.
Ronald R. Yager is a professor of information systems and director of the Machine Intelligence Institute at Iona College, USA. He is among the world’s most highly cited researchers with over 47,000 citations of his work in Google Scholar. He is editor and chief of the International Journal of Intelligent Systems and serves on the editorial boards of numerous other journals. He has published over 500 papers and edited over 30 books in areas related to fuzzy sets, computational intelligence, human behavioral modeling, decision making under uncertainty and the fusion of information. He is the 2016 recipient of the highly prestigious Institute of Electrical and Electronics Engineers (IEEE) Frank Rosenblatt Award and was the recipient of the IEEE Computational Intelligence Society Pioneer award in Fuzzy Systems. He received the special honorary medal of the 50th Anniversary of the Polish Academy of Sciences and the Lifetime Outstanding Achievement Award from International the Fuzzy Systems Association. He has received honorary doctorate degrees, honoris causa, from the Azerbaijan Technical University and the State University of Information Technologies, Bulgaria. Yager is a fellow of the IEEE, the New York Academy of Sciences, and the Fuzzy Systems Association. He has served at the National Science Foundation as program director in the Information Sciences program. He was a NASA/Stanford visiting fellow and a research associate at the University of California, Berkeley as well as a lecturer at NATO Advanced Study Institutes. He is a visiting distinguished scientist at King Saud University, Saudi Arabia and an adjunct professor at Aalborg University in Denmark. He received his undergraduate degree from the City College of New York, USA and his PhD from the Polytechnic Institute New York University, USA.