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Pablo D. Slemenson“Lógica de lo preconciente”1. Frequency analysis of variable networks, Proc. IRE 3a8, 291-299, 1950.2. An extension of Wiener's theory of prediction, (with J. R. Ragazzini), J. Appl. Phys.21, 645- 655, 1950.3. The analysis of sampled-data systems, (with J. R. Ragazzini), Applications andIndustry (AIEE) 1, 224-234, 1952.4. A contribution to the theory of nonlinear systems, J. Franklin Institute 255, 387-408, 1953.5. Linear System Theory-The State Space Approach, (co-authored with C. A. Desoer).New York: McGraw-Hill Book Co., 1963.6. Fuzzy sets, Inf. Control 8, 338-353, 1965.7. Probability measures of fuzzy events, Jour. Math. Analysis and Appl. 23, 421-427,1968.8. Decision-making in a fuzzy environment, (with R. E. Bellman), ManagementScience 17, B- 141-B-164, 1970.9. Fuzzy languages and their relation to human and machine intelligence, Proc. of Intl.Conf. on10. Man and Computer, Bordeaux, France, 130-165, 1972. Outline of a new approachto the analysis of complex systems and decision processes, IEEE11. Trans. on Systems, Man and Cybernetics SMC-3, 28-44, 1973.12. The concept of a linguistic variable and its application to approximate reasoning,Part I: Inf. Sci. 8, 199-249, 1975; Part II: Inf. Sci. 8, 301-357, 1975; Part III: Inf. Sci. 9,43-80, 1975.13. Local and fuzzy logics, (with R.E. Bellman), ERL Memorandum M-584, 1976.Also in Modern Uses of Multiple-Valued Logic, J.M. Dunn and G. Epstein (eds.), 103-165. Dordrecht: D. Reidel, 1977.14. A fuzzy-algorithmic approach to the definition of complex or imprecise concepts,Int. Jour. Man-Machine Studies 8, 249-291, 1976.15. Fuzzy sets as a basis for a theory of possibility, Fuzzy Sets and Systems 1, 3-28,1978.16. PRUF-a meaning representation language for natural languages, Int. J. Man-Machine Studies 10, 395-460, 1978.17. Fuzzy sets and information granularity, Advances in Fuzzy Set Theory andApplications, M. Gupta, R. Ragade and R. Yager (eds.), 3-18. Amsterdam: North-Holland Publishing Co., 1979.Apendice 312
Pablo D. Slemenson“Lógica de lo preconciente”18. A theory of approximate reasoning, Machine Intelligence 9, J. Hayes, D. Michie,and L. I Mikulich (eds.), 149-194. New York: Halstead Press, 1979.19. A computational approach to fuzzy quantifiers in natural languages, Computersand Mathematics 9, 149-184, 1983. Abridged version in the Proc. of the FourthConference of the Canadian Conference for Computational Studies of Intelligence,Saskatoon, 116-120, 1982.20. The role of fuzzy logic in the management of uncertainty in expert systems, FuzzySets and Systems 11, 199-227, 1983.21. A theory of commonsense knowledge, Aspects of Vagueness, H.J. Skala, S.Termini and E. Trillas (eds.), 257-296. Dordrecht: Reidel, 1984.22. Fuzzy probabilities, Information Processing and Management 19, 148-153, 1984.23. Syllogistic reasoning in fuzzy logic and its application to usuality and reasoningwith dispositions, IEEE Transactions on Systems, Man and Cybernetics, SMC-15, 754-763, 1985.24. Outline of a computational approach to meaning and knowledge representationbased on a concept of a generalized assignment statement, Proceedings of theInternational Seminar on Artificial Intelligence and Man-Machine Systems, M. Thomaand A. Wyner (eds.), 198-211. Heidelberg: Springer-Verlag, 1986.25. Test-score semantics as a basis for a computational approach to the representationof meaning, Literary and Linguistic Computing 1, 24-35, 1986.26. A computational theory of dispositions, International Journal of IntelligentSystems 2, 39-63, 1987.27. Knowledge representation in fuzzy logic, IEEE Trans. on Knowledge and DataEngineering 1, 89-100, 1989.28. Fuzzy Logic and the Calculus of Fuzzy If-Then Rules, Proceedings of SYNAPSE`91, Tokyo, Japan, 1991.29. Uncertainty in Knowledge Bases, Bouchon-Meunier, R.R. Yager and L.A. Zadeh(Eds.), Springer-Verlag, Berlin, 1991.30. An Introduction to Fuzzy Logic Applications in Intelligent Systems, R.R. Yagerand L.A. Zadeh (Eds.), Kluwer Academic Publishers, 1991.31. Fuzzy Logic and the Calculus of Fuzzy If-Then Rules, OMRON Technics, Vol. 31,No. 4, 316- 320, 1991.32. The Calculus of Fuzzy If-Then Rules, AI Expert, Vol. 7, No. 3, 23-27, March1992.Apendice 313
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