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Pablo D. Slemenson“Lógica de lo preconciente”10. Doctorate Honoris Causa, University of Ostrava, Ostrava, Czech Republic,1998.11. Doctorate Honoris Causa, University of Toronto, Toronto, Canada, 1998.12. Doctorate Honoris Causa, University of Central Florida, Orlando, FL, 2000.13. Doctorate Honoris Causa, University of Hamburg, Hamburg, Germany, 2000.14. Doctorate Honoris Causa, University of Paris (6), Paris, France, 2001.6. Miscellaneous1. Certificate of appreciation, IEEE Computer Society, 1988.2. Berkeley Citation, University of California, Berkeley, California, 1991.3. Certificate of Commendation for AI Special Contribution, InternationalFoundation for Artificial Intelligence, 1992.4. Distinguished Lecturer, ASME, 1996-5. Lee Kuan Yew Distinguished Visitor, Singapore, 1997.6. Gulbenkian Foundation Visiting Professor, Lisbon, Portugal, 1997.7. Distinguished Lecturer, IEEE Computer Society, 1998-8. Certificate of Merit, IFSA (International Fuzzy Systems Association), 2000.Achievements and principal contributionsLotfi Zadeh's first important work was his doctoral dissertation on the frequencyanalysis of time-varying networks, which was published in the Proceedings of the IREin 1949. In this work, he introduced the concept of a time-varying transfer function-aconcept which in the intervening years has found significant applications in the analysisof linear time-varying systems and has gained him his first international recognition. In1950, in a joint paper with John R. Ragazzini which appeared in the Journal of AppliedPhysics, he described an important generalization of Wiener's theory of prediction. Thiswork has found numerous applications in the design of finite-memory filters andpredictors and is widely regarded as a classic in its field.In 1952, Lotfi Zadeh, again in cooperation with John R. Ragazzini, has pioneered in thedevelopment of the z-transform approach to the analysis of sampled-data systems. Thisapproach has become a standard method for the analysis of such systems and is widelyused in the design of control systems and digital filters.Apendice 306
Pablo D. Slemenson“Lógica de lo preconciente”In 1953, he developed a novel approach to the design of nonlinear filters andconstructed a hierarchy of nonlinear systems based on the Volterra-Wienerrepresentation. This approach has provided a basis for the design of optimal nonlinearprocessors for the detection of signals in noise.In 1963, Lotfi Zadeh co-authored with Charles Desoer their classic text on the statespacetheory of linear systems. This book is widely regarded as a landmark in thedevelopment of the state-space approach and its application to control and systemsanalysis. The state-space approach is now the standard tool in optimal control and iswidely used in the analysis of a variety of systems ranging from industrial robots tospace guidance control.Prior to the publication of his seminal paper on fuzzy sets in 1965, Lotfi Zadeh wasrecognized both nationally and internationally as one of the leading contributors to thedevelopment of system theory and its applications. His paper on fuzzy sets marked thebeginning of a new direction; by introducing the concept of a fuzzy set, that is, a classwith unsharp boundaries, he provided a basis for a qualitative approach to the analysisof complex systems in which linguistic rather than numerical variables are employed todescribe system behavior and performance. In this way, a much better understanding ofhow to deal with uncertainty may be achieved, and better models of human reasoningmay be constructed. Although his unorthodox ideas were initially met with someskepticism, they have gained wide acceptance in recent years and have found numerousapplications in fields ranging from pattern analysis and system design to damageassessment and industrial process control.Subsequent to the publication of his 1965 paper, Lotfi Zadeh has made a number ofbasic contributions to the theory of fuzzy sets and its applications, particularlynoteworthy of which are the following:In the paper entitled, Probability Measures of Fuzzy Events (1968), he introduced theconcept of the probability measure of a fuzzy event which later led to the concepts ofcardinality and fuzzy quantification.Apendice 307
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