The Berkeley Initiative in Soft Computing Electrical Engineering and Computer Sciences Department


Fuzzy Set: 1965 Fuzzy Logic: 1973 BISC: 1990 Human-Machine Perception: 2000 -




Primary publications of Lotfi A. Zadeh

  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 and Industry (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), Management Science 17, B- 141-B-164, 1970.
  9. Fuzzy languages and their relation to human and machine intelligence, Proc. of Intl. Conf. on
  10. Man and Computer, Bordeaux, France, 130-165, 1972. Outline of a new approach to the analysis of complex systems and decision processes, IEEE
  11. 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 and Applications, M. Gupta, R. Ragade and R. Yager (eds.), 3-18. Amsterdam: North-Holland Publishing Co., 1979.
  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, Computers and Mathematics 9, 149-184, 1983. Abridged version in the Proc. of the Fourth Conference 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, Fuzzy Sets 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 reasoning with dispositions, IEEE Transactions on Systems, Man and Cybernetics, SMC-15, 754-763, 1985.
  24. Outline of a computational approach to meaning and knowledge representation based on a concept of a generalized assignment statement, Proceedings of the International Seminar on Artificial Intelligence and Man-Machine Systems, M. Thoma and A. Wyner (eds.), 198-211. Heidelberg: Springer-Verlag, 1986.
  25. Test-score semantics as a basis for a computational approach to the representation of meaning, Literary and Linguistic Computing 1, 24-35, 1986.
  26. A computational theory of dispositions, International Journal of Intelligent Systems 2, 39-63, 1987.
  27. Knowledge representation in fuzzy logic, IEEE Trans. on Knowledge and Data Engineering 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. Yager and 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, March 1992.
  33. Fuzzy Logic for the Management of Uncertainty, L.A. Zadeh and J. Kacprzyk (Eds.), John Wiley & Sons, New York, 1992.
  34. Fuzzy Logic, Neural Networks and Soft Computing, Communications of the ACM, 37(3):77-84, 1994.
  35. The Role of Fuzzy Logic in Modeling, Identification and Control, Modeling Identification and Control, 15(3):191-203, 1994.
  36. Why the Success of Fuzzy Logic is not Paradoxical, IEEE Expert, 9(4):43-45, 1994. Soft Computing and Fuzzy Logic, IEEE Software, 11(1-6):48-56, 1994.
  37. Probability Theory and Fuzzy Logic are Complementary rather than Competitive, Technometrics, 37, 271-276,1995.
  38. Fuzzy Logic = Computing with Words, IEEE Transactions on Fuzzy Systems, 2, 103-111, 1996.
  39. Fuzzy Logic and the Calculi of Fuzzy Rules and Fuzzy Graphs, International Journal of Multiple-Valued Logic, 1, 1-39, 1996
  40. >From Computing with Numbers to Computing with Words -- From Manipulation of Measurements to Manipulation of Perceptions, IEEE Transactions on Circuits and Systems, 45, 105-119, 1999.
  41. Outline of Computational Theory of Perceptions Based on Computing with Words, Soft Computing & Intelligent Systems, N.K. Sinha, M.M. Gupta, and L.A. Zadeh (eds), 3-22. New York; Academic Press, 2000.

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picture of Lotfi Zadeh
Professor Lotfi A. Zadeh

Short Curriculum Vitae
Principal employment and affiliations
Editorial affiliations

Awards, fellowships, honors 
Achievement and principal contributions
Summary of principal contributions
Primary publications
Statistics on the impact of Fuzzy Logic





Fuzzy Set: 1965 Fuzzy Logic: 1973 BISC: 1990 Human-Machine Perception: 2000 -