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Education
B.S., Mathematics
University of Wisconsin-Madison(1974)
M.S., Mathematics
University of Notre Dame (1976)
Ph.D., mathematics
University of Notre Dame (1978)
Dr. Sudkamp's current research is in the application of soft computing techniques to modeling and decision analysis.This work focuses on the development and analysis of algorithms to model complex systems in which only an imprecise or approximate description of the relationships among the features is available. Areas of research include rule reduction to enhance interpretability, combining models, data fusion and domain decomposition techniques, and the analysis of the effects of granularity and generalizability in modeling.
Dr. Sudkamp has served as president of the North American Fuzzy Information Processing Society, vice president of the International Fuzzy Systems Association, and is currently vice president of the Society for the Mathematics of Uncertainty. He is an associate editor of the IEEE Transactions on Fuzzy Systems, The International Journal of Computational Intelligence, and an area editor for Fuzzy Sets and Systems.
Selected Publications
M. G. Joo and T. Sudkamp, A method of converting a fuzzy system to a 2-level hierarchical system, IEEE Transactions on Fuzzy Systems, vol. 17, no. 4, 93-103, February, 2009.
T. Sudkamp, Imprecision and structure in modeling subjective similarity, Preferences and Similarities, Editors G. Della-Ricci, D. Dubois, R. Kruse, and H.-J. Lenz, Springer, Berlin, 197-214, 2008.
T. Sudkamp, Refinement of temporal constraints in fuzzy associations, International Journal of Approximate Reasoning, vol 48, no. 1, 23-35, April 2008.
T. Sudkamp, Sporadic fuzzy temporal associations, International Journal of General Systems, vol. 37, vo. 1, 3-16, September 2007.
Active Research Projects
The investigation of the measurement and applications of similarity complex objects or scenarios in analogical, interpolative, and case-based reasoning.
The development of techniques for the reduction of complexity and enhancement of interpretability in fuzzy systems.
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Research Interests
Fuzzy set theory, soft computing, approximate reasoning
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