Professor George J. Klir from the State University of New York, Binghamton, has been awarded the 2007 Fuzzy Systems Pioneer Award of the IEEE Computational Intelligence Society (CIS). This award recognizes significant contributions to early concepts and developments in the field of fuzzy systems. According to the CIS rules, the award is officially presented at the IEEE International Conference on Fuzzy Systems (or at another major CIS conference).
Professor Klir's interests are broad and contributions are numerous. He is known for his contribution to generalized theories of uncertainty that combine fuzzy, probabilistic, intervals, and other types of uncertainty, to the design and analysis of different measures of uncertainty, and in many many other areas.
In particular, his interests have always been strongly related to interval computations. In his numerous papers, monographs, and textbooks, Professor Klir always emphasized the connection between fuzzy and intervals, and described interval computations as an important tool for fuzzy research. Lately, he has been advocating the need to combine interval computations (and corresponding fuzzy computations) with constraints; he himself contributed to the development of the corresponding constraint fuzzy arithmetic and fuzzy arithmetic with requisite constraints.
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