Prof. Lotfi A. Zadeh

University of California, USA

Email: zadeh@eecs.berkeley.edu

Qualifications

Ph.D., Columbia University, USA

M.Sc., Massachusetts Institute of Technology, USA

B.Sc., University of Tehran, USA

Publications (selected)

1. 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.
2. A theory of approximate reasoning, Machine Intelligence 9, J. Hayes, D. Michie, and L. I Mikulich (eds.), 149-194. New York: Halstead Press, 1979.
3. 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.
4. The role of fuzzy logic in the management of uncertainty in expert systems, Fuzzy Sets and Systems 11, 199-227, 1983.
5. A theory of commonsense knowledge, Aspects of Vagueness, H.J. Skala, S. Termini and E. Trillas (eds.), 257-296. Dordrecht: Reidel, 1984.
6. Fuzzy probabilities, Information Processing and Management 19, 148-153, 1984.
7. 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.
8. 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.
9. Test-score semantics as a basis for a computational approach to the representation of meaning, Literary and Linguistic Computing 1, 24-35, 1986.
10. A computational theory of dispositions, International Journal of Intelligent Systems 2, 39-63, 1987.
11. Knowledge representation in fuzzy logic, IEEE Trans. on Knowledge and Data Engineering 1, 89-100, 1989.
12. Fuzzy Logic and the Calculus of Fuzzy If-Then Rules, Proceedings of SYNAPSE `91, Tokyo, Japan, 1991.
13. Uncertainty in Knowledge Bases, Bouchon-Meunier, R.R. Yager and L.A. Zadeh (Eds.), Springer-Verlag, Berlin, 1991.
14. An Introduction to Fuzzy Logic Applications in Intelligent Systems, R.R. Yager and L.A. Zadeh (Eds.), Kluwer Academic Publishers, 1991.
15. Fuzzy Logic and the Calculus of Fuzzy If-Then Rules, OMRON Technics, Vol. 31, No. 4, 316- 320, 1991.
16. The Calculus of Fuzzy If-Then Rules, AI Expert, Vol. 7, No. 3, 23-27, March 1992.
17. Fuzzy Logic for the Management of Uncertainty, L.A. Zadeh and J. Kacprzyk (Eds.), John Wiley & Sons, New York, 1992.
18. Fuzzy Logic, Neural Networks and Soft Computing, Communications of the ACM, 37(3):77-84, 1994.
19. The Role of Fuzzy Logic in Modeling, Identification and Control, Modeling Identification and Control, 15(3):191-203, 1994.
20. 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.
21. Probability Theory and Fuzzy Logic are Complementary rather than Competitive, Technometrics, 37, 271-276,1995.
22. Fuzzy Logic = Computing with Words, IEEE Transactions on Fuzzy Systems, 2, 103-111, 1996.
23. Fuzzy Logic and the Calculi of Fuzzy Rules and Fuzzy Graphs, International Journal of Multiple-Valued Logic, 1, 1-39, 1996
24. 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.
25. 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.