BISC

The Berkeley Initiative in Soft Computing                       

Electrical Engineering and Computer Sciences Department          

 

 

PUBLICATIONS LIST

 

 

Lotfi A. Zadeh

Principal papers are highlighted

 

 

1.          Probability criterion for the design of servomechanisms, (with J.R. Ragazzini), J. Appl. Phys. 20, 141-144, 1949.

2.          Thinking machines-a new field in electrical engineering, Columbia Engineering Quarterly 3, 12- 13, 30, 31, 1950.

3.          A wide band audio phasemeter (with J. R. Ragazzini), Rev. Sci Inst. 21, 145-148,1950.

4.          Frequency analysis of variable networks, Proc. IRE 3a8, 291-299, 1950.

5.          The determination of the impulsive response of variable networks, J. Appl. Phys. 21, 642-645, 1950.

6.          An extension of Wiener's theory of prediction, (with J. R. Ragazzini), J. Appl. Phys. 21, 645-655, 1950.

7.          Circuit analysis of linear varying-parameter networks, J. Appl. Phys. 21, 171-177, 1950.

8.          Band-pass low-pass transformation in variable networks, Proc. IRE 38, 1339-1341, 1950.

9.          Correlation functions and power spectra in variable networks, Proc. IRE 38, 1342-1345, 1950.

10.      On stability of linear varying-parameter systems, J. Appl. Phys. 22, 402-405, 1951.

11.      Correlation functions and spectra of phase- and delay-modulated signals, Proc. IRE 39, 425- 428, 1951.

12.      Constant-resistance networks of the linear varying-parameter type, Proc. IRE 39, 688-691, 1951.

13.      Initial conditions in linear varying-parameter systems, J. Appl. Phys. 22, 782-786, 1951.

14.      Time-dependent heaviside operators, J. Math. and Phys. 30, 73-78, 1951.

15.      A note on the initial excitation of linear systems, J. Appl. Phys. 22, 1216-1217, 1951.

16.      Some applications of matrix and tensor methods in the analysis and synthesis of variable systems, Matrix and Tensor Quarterly 2, 13-18, 1951.

17.      General input-output relations for linear networks, Proc. IRE 40, 103, 1952.

18.      Generalized ideal filters, (with K. S. Miller), J. Appl. Phys. 23, 223-228, 1952.

19.      On the theory of filtration of signals, Zeit Angew. Math. Phys. 3, 149-156, 1952.

20.      Some basic problems in communication of information, Trans. N.Y. Acad. Sci.14, 201-204, 1952.

21.      Continuous matrices and their applications, Matrix and Tensor Quarterly 2, 8-14, 1952.

22.      A general theory of linear signal transmission systems, J. Franklin Institute 253, 293-312, 1952.

23.      Operational analysis of variable-delay systems, Proc. IRE 40, 464-468, 1952.

24.      Matrix formulation of the filtering process, Matrix and Tensor Quarterly 2, 7-13, 1952.

25.      Fundamental aspects of linear multiplexing, (with K. S. Miller), Proc.IRE 40, 1091-1097, 1952.

26.      Optimum filters for the detection of signals in noise, (with J. R. Ragazzini), Proc. IRE 40, 1223- 1231, 1952.

27.      The analysis of sampled-data systems, (with J.R. Ragazzini), Applications and Industry (AIEE) 1, 224-234, 1952.

28.      Optimum nonlinear filters for the extraction and detection of signals, Convention Record of the IRE, 57-65, 1953.

29.      On a class of stochastic operators, J. Math and Phys. 32, 48-53, 1953.

30.      Optimum nonlinear filters, J. Appl. Phys. 24, 396-404, 1953.

31.      Nonlinear multipoles, Proc. Natl. Acad. Sci USA 39, 274-280, 1953.

32.      A contribution to the theory of nonlinear systems, J. Franklin Institute 255, 387-408, 1953.

33.      A note on the analysis of vacuum tube and transistor circuits, Proc IRE 41,989-992, 1953.

34.      Theory of filtering, J. Soc. Indus. Appl. Math. 1, 35-51, 1953.

35.      System theory, Columbia Engineering Quarterly 8, 16-19, 34, 1954.

36.      General filters for separation of signals and noise, Proc. Symp. Information Networks, P.I.B., New York, 31-49, 1955.

37.      Applications of time-variable network theory, Proc. Symp. Circuit Theory, University of Illinois, 6.11-6.14, 1955.

38.      Generalized Fourier integrals, (with K.S. Miller), Trans. PGCT CT-2, 256-260, 1955.

39.      On passive and active networks and generalized Norton's and Thevinin's theorems, Proc. IRE 44, 378, 1956.

40.      Solution of an integral equation occurring in the theories of prediction and detection, (with K. S. Miller), IRE Trans. on Information Theory IT-2.2, 72-75, 1956.

41.      On the identification problem, IRE Trans. on Circuit Theory CT-3, 277-281, 1956.

42.      On the representation of nonlinear operators, 1957 WESCON Convention Record, 105-113, 1957.

43.      Multiple analysis of active networks, IRE Trans. on Circuit Theory CT-4, 97-105, 1957.

44.      Signal-flow graphs and random signals. Proc. IRE 45, 1413-1414, 1957. 

45.      What is optimal, (editorial), IRE Trans. on Information Theory IT-4, 3, 1958.

46.      Toward an institute for research in communication sciences, (editorial), IRE Trans. on Information Theory IT-6, 2, 1960.

47.      Note on an integral equation occurring in the prediction, detection and analysis of multiple time series, (with I. B. Thomas), IRE Trans. on Information Theory IT-7, 118-120, 1961.

48.      Optimal control problems in discrete-time systems, Computer Control Systems Technology, 389- 414. New York: McGraw-Hill Book Co., 1961.

49.      Progress in information theory in the U.S.A., 1957-1960: Prediction and filtering, IRE Trans. on Information Theory IT-7, 139-144, 1961.

50.      An extended definition of linearity, Proc. IRE 49, 1452-1453, 1961.

51.      Time-varying networks I, Proc. IRE 49, 1488-1503, 1961.

52.      Remark on the paper by Bellman and Kalaba, Inf. Control 4, 350-352, 1961.

53.      On the extended definition of linearity, Proc. IRE 50, 2000-2001, 1962.

54.      Optimal pursuit strategies in discrete-state probabilistic systems, (with I. H. Baton), I. Basic Engineering 84, Series D, 23-29, 1962.

55.      A critical view of our research in automatic control, (correspondence), IRE Trans. on Automatic Control AC-7, 74, 1962.

56.      From circuit theory to system theory, Proc. IRE 50, 856-865, 1962.

57.      An introduction to state space techniques, Proc JACC, 101-105, 1962.

58.      On optimal control and linear programming, (with B. Whalen), IEEE Trans. on Automatic Control AC-7, 45-46, 1962.

59.      Optimality and non-scalar-valued performance criteria, IEEE Trans. on Automatic Control AC-8, 59-62, 1963.

60.      On the definition of adaptivity, Proc. IEEE 51, 469-470, 1963.

61.      An alternation principle for improved control, (with I. H. Baton), Automatika i Telemehanika 24, 328-330, 1963.

62.      Stochastic finite-systems in control theory, Proc. Symp. on Optimal Control and Nonlinear Systems, Faculte des Sciences de Paris, 123-143,1963.

63.      The general identification problem, Proc. Princeton University Conference on Identification Problems in Communication and Control Systems, 1-17, 1963.

64.      Linear System Theory-The State Space Approach, (co-authored with C. A. Desoer). New York: McGraw-Hill Book Co., 1963.

65.      Report on progress in information theory in USA: 1960-1963, IEEE Trans. Prof Group on Information Theory 179, 1963.

66.      The concept of state in system theory, Proceedings of the Second Systems Symposium, Case Institute of Technology, 39-50. New York: John Wiley & Sons, 1964.

67.      Fuzzy sets, Information and Control 8, 338-353, 1965.

68.      Fuzzy sets and systems, Proc. Symp. on System Theory, Polytechnic Institute of Brooklyn, New York, 29-39, 1965.

69.      Electrical engineering at the crossroads, IEEE Trans. on Education 8, 30-33, 1965.

70.      Abstraction and pattern classification, (with R.E. Bellman and R. Kalaba), Jour. Math. Analysis and Appl. 13, 1-7, 1966.

71.      Shadows of fuzzy sets, Prob. in Trans. of Information 2, Moscow, 37-44, 1966.

72.      Practice experience and engineering education, (with E. Weber, J. Herbert Hollomon, T.F. Jones, and R. H. Lyon), IEEE Spectrum, 60-66, 1967.

73.      Fuzzy algorithms, Inf Control 12, 94-102, 1968.

74.      Computer sciences as a discipline, J. Eng. Ed. 58, 913-916, 1968.

75.      The dilemma of computer sciences, University Education in Computing Sciences, A. Finerman {ed.). New York: Academic Press, 1968.

76.      The concept of state in system theory, Network and Switching Theory, New York: Academic Press, pp. 21-26.

77.      Probability measures of fuzzy events, Jour. Math. Analysis and Appl. 23, 421-427, 1968.

78.      Education in computer sciences, Proc. 4th Natl. Cong. on Data Processing, Hebrew University, 1968.

79.      System Theory, L.A. Zadeh and E. Polak (eds.). New York: McGraw-Hill Book Co., 1968.

80.      The concepts of system, aggregate and state in system theory, System Theory, L.A. Zadeh and E. Polak (eds.), 3-42. New York: McGraw-Hill Book Co., 1968.

81.      Biological application of the theory of fuzzy sets and systems, Proceedings of the Symposium on the Biocybernetics of the Higher Nervous System, L.D. Proctor (ed.), Boston: Little, Brown and Co., 1969, pp. 199-206.

82.      Note on fuzzy languages, (with E. T. Lee), Information Sciences 1, 421-434, 1969.

83.      Computing Methods in Optimization Problems, L. W. Neustadt, A. V. Balakrishnan and L.A. Zadeh (eds.). New York: Academic Press, 1969. From a collection of papers presented at the Second Conference on Computing Methods, San Remo, Italy, September, 1968.

84.      Decision-making in a fuzzy environment, (with R. E. Bellman), Management Science 17, B- 141-B-164, 1970.

85.      Toward a theory of fuzzy systems, Aspects of Network and System Theory, R.E. Kalman and N. DeClaris (eds.), 469-490. New York: Rinehart and Winston, 1971.

86.      Quantitative fuzzy semantics, Inf. Sci. 3, 159-176, 1971.                               

87.      Similarity relations and fuzzy orderings, Inf. Sci. 3, 177-200, 1971.

88.      Human intelligence vs. machine intelligence, Proc. of Intl. Cong. on Science and Society, Belgrade, 127-133, 1971.

89.      Toward fuzziness in computer systems-fuzzy algorithms and languages, Architecture and Design of Digital Computers, G. Boulaye (ed.), 9-18. Paris: Dunod, 1971.                 

90.      A rationale for fuzzy control, Jour. of Dynamic Systems, Measurement and Control 94, Series G, 3-4, 1972.

91.      On fuzzy algorithms, ERL Memorandum M-325, University of California, Berkeley, 1972.

92.      A fuzzy-set-theoretic interpretation of linguistic hedges, Jour. of Cybernetics 2, 4-34, 1972. 

93.      Fuzzy languages and their relation to human and machine intelligence, Proc. of Intl. Conf. on Man and Computer, Bordeaux, France, 130-165, 1972.                                            

94.      Linguistic cybernetics, Proc. of the Intl. Symp. on System Science and Cybernetics, Oxford University, 1607-1617, 1972.                                                                              

95.      Mathematics-a call for reorientation, Newsletter of the Conference Board on Mathematical Sciences 7, 1-3, 1972.

96.      The drop in engineering enrollments-a transient or a trend, Newsletter of IEEE Circuit Theory Group 6, 6, 11, 1972.

97.      Fuzzy mapping and control, (with S.S.L. Chang), IEEE Trans. on Systems, Man and Cybernetics SMC-2, 30-34, 1972.

98.      A system-theoretic view of behavior modification, Beyond the Punitive Society, H. Wheeler (ed.), 160-169. San Francisco: W.H. Freeman Co., 1973.

99.      Outline of a new approach to the analysis of complex systems and decision processes, IEEE Trans. on Systems, Man and Cybernetics SMC-3, 28-44, 1973.

100.  Numerical vs. linguistic variables, Newsletter of the Circuits and Systems Society 7, 3-4, 1974.

101.  On the analysis of large scale systems, Systems Approaches and Environment Problems, H. Gottinger (ed.), 23-37. Gottingen: Vandenhoeck and Ruprecht, 1974.

102.  Fuzzy logic and its application to approximate reasoning, Information Processing 74, 591-594. Amsterdam: North-Holland Publishing Co., 1974.                                                       

103.  Fuzzy Sets and Their Applications to Cognitive and Decision Processes, K.S. Fu, M. Shimura, K. Tanaka and L.A. Zadeh (eds.). New York: Academic Press, 1975.                      

104.  Calculus of fuzzy restrictions, Fuzzy sets and Their Applications to Cognitive and Decision Processes, L.A. Zadeh, K.S. Fu, K. Tanaka, and M. Shimura (eds.), 1-39. New York: Academic Press, 1975.

105.  Fuzzy logic and approximate reasoning, (In Memory of Grigore Moisil), Synthese 30, 407-428, 1975. 

106.  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.      

107.  The linguistic approach and its application to decision analysis, Directions in Large Scale Systems, Y. C. Ho and S. K. Mitter (eds.), 339-370. New York: Plenum Press, 1976.         

108.  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.

109.  Semantic inference from fuzzy premises, Proc. 6th Int. Symp. on Multiple-Valued Logic, Utah State University at Logan, 217-218, 1976.                                                                    

110.  A fuzzy-algorithmic approach to the definition of complex or imprecise concepts, Int. Jour. Man-Machine Studies 8, 249-291, 1976.

111.  Linguistic characterization of preference relations as a basis for choice in social systems, Erkenntnis 11, 383-410, 1977.                                                                                  

112.  Fuzzy sets and their application to pattern classification and clustering analysis, Classification and Clustering, J. van Ryzin (ed.), 251-299. New York: Academic Press, 1977.

113.  Possibility theory and its application to information analysis, Proc. Int. Colloq. on Information Theory, C.N.R.S., Paris, 173-182, 1978.

114.  Fuzzy sets as a basis for a theory of possibility, Fuzzy Sets and Systems 1, 3-28, 1978.

115.  PRUF—a meaning representation language for natural languages, Int. J. Man-Machine Studies 10, 395-460, 1978.                                                                                                     

116.  Fuzzy Sets, Operations Research Support Methodology, A.G. Holzman (Ed.), 569-606. New York: Marcel Dekker, 1979.

117.  On the validity of Dempster's rule of combination of evidence, ERL Memorandum M79/24, University of California, Berkeley, 1979. 

118.  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.

119.  Liar's paradox and truth-qualification principle, ERL Memorandum M79/34, University of California, Berkeley, 1979.

120.  Approximate reasoning based on fuzzy logic, Proc. Sixth International Conference on Artificial Intelligence, Tokyo, 1004-1010, 1979.                                                                                

121.  A theory of approximate reasoning, Machine Intelligence 9, J. Hayes, D. Michie, and L.I. Mikulich (eds.), 149-194. New York: Halstead Press, 1979.                                           

122.  Possibility theory and its application to the representation and manipulation of uncertain data, Proceedings of the Workshop on Image Understanding, NESC, Washington, D.C., R. Kahane (ed.), 36-60, 1979.

123.  Inference in fuzzy logic, Proceedings of the 10th International Symposium on Multiple-Valued Logic, Northwestern University, Evanston, Illinois, 124-131, 1980.                        

124.  Possibility theory as a basis for information processing and knowledge representation, Proceedings of the Computer Software and Application Conference, Chicago, 1980.     

125.  Fuzzy sets vs. probability, (correspondence item), Proc. IEEE 68, 421, 1980.

126.  Possibility theory as a basis for a mathematical model of human communication, Proceedings of the International Symposium on Human Communication, UNESCO, Vienna, 1980.     

127.  Fuzzy system theory-a framework for the analysis of humanistic systems, Recent Developments in Systems Methodology for Social Science Research, G. Klir and R. Cavallo (eds.), Leiden: Martinus Nijhoff, 1981.

128.  Possibility theory and soft data analysis, I and II, Mathematical Frontiers of the Social and Policy Sciences, L. Cobb and R. M. Thrall (eds.), 69-129. Boulder, CO: Westview Press, 1981.

129.  Fuzzy probabilities and their role in decision analysis, Proc. MIT/ONR Workshop on C\u3\d, MIT, Cambridge, MA., 1981.

130.  Test-score semantics for natural languages and meaning representation via PRUF, Empirical Semantics, B. Rieger (ed,), 281-349. Bochum, W. Germany: Brockmeyer, 1981. Also Technical Memorandum 246, AI Center, SRI International, Menlo Park, CA, 1981.                          

131.  Possibility theory as a basis for representation of meaning, Proceedings of the Sixth Wittgenstein Symposium, Kirchberg, Austria, 253-261, 1982.                                         

132.  A note on prototype theory and fuzzy sets, Cognition 12, 291-297, 1982.

133.  Linguistic variables and approximate reasoning, Proc. of the Sixth Annual Symposium on Computer Applications in Medical Care, Washington, D.C., 787-791, 1982.                   

134.  Test-score semantics for natural languages, Proc. of the Ninth International Conference on Computational Linguistics, Prague, 425-430, 1982.                                                     

135.  A computational approach to fuzzy quantifiers in natural languages, Computers and Mathematics 9, 149-184, 1983.                                                                             

136.  The role of fuzzy logic in the management of uncertainty in expert systems, Fuzzy Sets and Systems 11, 199-227, 1983.

137.  A fuzzy-set-theoretic approach to the compositionality of meaning: propositions, dispositions and canonical forms, Journal of Semantics 3, 253-272, 1983.                                  

138.  Linguistic variables, approximate reasoning and dispositions, Medical Information 8, 173-186, 1983.                                                                                                                        

139.  Commonsense knowledge representation based on fuzzy logic, Computer 16, (IEEE Magazine), 61-65, 1983.                                                                                                            

140.  Is possibility different from probability? Human Systems Management 3, 253-254. 1983.

141.  Test-score semantics as a basis for a computational approach to the representation of meaning, Proceedings of the Tenth Annual Conference of the Association for Literary and Linguistic Computing, 1983.                                                                                            

142.  The role of fuzzy sets in dealing with uncertainty, Newsletter of the ORSA/TIMS, Applied Probability Group, 2-5, 1983.

143.  A theory of commonsense knowledge, Aspects of Vagueness, H.J. Skala, S. Termini and E. Trillas (eds.), 257-296. Dordrecht: Reidel, 1984.                                                        

144.  Precisiation of meaning via translation into PRUF, Cognitive Constraints on Communication, L. Vaina and J. Hintikka, (eds.), 373-402. Dordrecht: Reidel, 1984.                             

145.  Fuzzy Sets and Decision Analysis, B.R. Gaines, H.J. Zimmerman and L.A. Zadeh (eds.). Amsterdam: North-Holland, 1984.

146.  Syllogistic reasoning in fuzzy logic and its application to reasoning with dispositions, Proceedings of the 1984 International Symposium on Multiple-Valued Logic, 148-153, Winnipeg, Canada, 1984.                                                                                                             

147.  A simple view of the Dempster-Shafer theory of evidence, Berkeley Cognitive Science Report 27, 1984.

148.  Making computers think like people, IEEE Spectrum 21, 26-32, 1984.                    

149.  A computational theory of dispositions, Proceedings of the 1984 International Conference on Computational Linguistics, Stanford, CA., 312-318, 1984.                                            

150.  Fuzzy probabilities, Information Processing and Management 19, 148-153, 1984.

151.  Fuzzy sets and commonsense reasoning, Institute of Cognitive Studies Report 21, 1984.         

152.  A formalization of commonsense reasoning based on fuzzy logic, Proceedings of GI Congress 1985, Knowledge-based Systems, Munich, 398-402, 1985.                                        

153.  Fuzzy sets, usuality and commonsense reasoning, (an expanded version of Institute of Cognitive Studies Report 21), Institute of Cognitive Studies Report 32, 1985.                      

154.  Management of uncertainty in expert systems, Proceedings of the Federal Emergency Agency Symposium on Expert Systems in Emergency Management, Washington, D.C., 1985.

155.  Syllogistic reasoning in fuzzy logic and its application to usuality and reasoning with dispositions, IEEE Transactions on Systems, Man and Cybernetics 15, 754-763, 1985.             

156.  A simple view of the Dempster Shafer theory of evidence and its implications for the rule of combination of evidence, AI Magazine 7, 85-90, 1986.

157.  Is probability theory sufficient for dealing with uncertainty in AI: A negative view, Uncertainty in Artificial Intelligence, L.N. Kanal and J.F. Lemmer (eds.). Amsterdam: North Holland, 1986.

158.  Outline of a computational approach to meaning and knowledge representation based on the 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.                                                                              

159.  Outline of a theory of usuality based on fuzzy logic, Fuzzy Sets Theory and Applications, A. Jones, A. Kaufmann and H.J. Zimmermann (eds.), 79-97. Dordrecht: Reidel, 1986.           

160.  Test-score semantics as a basis for a computational approach to the representation of meaning, Literary and Linguistic Computing 1, 24-35, 1986.                                 

161.  On the combinability of evidence in the Dempster-Shafer theory, (with A. Ralescu), Proc. of the Workshop on Uncertainty in AI, Philadelphia, PA., 347-349, 1986.

162.  Commonsense reasoning based on fuzzy logic, Proceedings of the Winter Simulation Conference, J. Wilson and J. Henriksen (eds.), 445-447, 1986.                                   

163.  A computational theory of dispositions, International Journal of Intelligent Systems 2, 39-63, 1987.                                                                                                                     

164.  Fuzzy sets, usuality and commonsense reasoning, Matters of Intelligence, L. M. Vaina (Ed.), Dordrecht: D. Reidel Publishing Company, 289-309, 1987.                                        

165.  Dispositional logic and commonsense reasoning, Proc. of the Second Annual Artificial Intelligence Forum, NASA Ames Research Center, Mountain View, CA., 375-389, 1987.    

166.  Non-monotonic reasoning in a possibilistic setting, AI Magazine 8, 18-19, 1987.

167.  Dispositional logic, Appl. Math. Lett. 1, 95-99, 1988.                                                   

168.  Fuzzy logic, Computer 1 (4), 83-93, 1988.

169.  Dispositional logic and commonsense reasoning, Proc. of the 1988 Princeton Conference on Information Sciences and Systems, P.J. Ramadge and S. Verdu (eds.). Princeton: Princeton University Press, pp. 517-520, 1988.                                                                       

170.  An inquiry into computer understanding: a partial dissent, Computational Intelligence 4, 126- 128, 1988.                                                                                                              

171.  On the treatment of uncertainty in AI, The Knowledge Engineering Review 2, Pt. I, 81-85, 1988.

172.  Fuzzy logic in knowledge-based systems and control, Proceedings of the International Workshop on Fuzzy System Applications, Kyushu Inst. of Technology, Iizuka, Japan, pp. 1-2, 1988.

173.  QSA/FL-Qualitative systems analysis based on fuzzy logic, Stanford AAAI Symposium on Limited Rationality, Stanford, CA, 111-114, 1989.

174.  Knowledge representation in fuzzy logic, IEEE Trans. on Knowledge and Data Engineering 1, 89-100, 1989.                                                                                                                 

175.  The birth and evolution of fuzzy logic, Int'l. Journal of General Systems 17, 95-105, 1990.

176.  Fuzzy logic and the calculus of fuzzy if-then rules, Proceedings of SYNAPSE '91, Tokyo, Japan, 1991.

177.  Uncertainty in knowledge bases, Bouchon-Meunier, R.R. Yager and L.A. Zadeh (Eds.), Berlin: Springer-Verlag, 1991.

178.  An introduction to fuzzy Logic applications in intelligent systems, R.R. Yager and L.A. Zadeh (Eds.), Boston: Kluwer Academic Publishers, 1992.

179.  Fuzzy logic and the calculus of fuzzy if-then rules, OMRON Technics 31, No.4, 316-320, 1991.

180.  The calculus of fuzzy if-then rules, AI Expert 7, No.3, 23-27, 1992.

181.  Fuzzy logic for the management of uncertainty, L.A. Zadeh and J. Kacprzyk (Eds.), New York: John Wiley & Sons, 1992.

182.  Fuzzy logic, neural networks and soft computing, Communications of the ACM 37(3): 77-84, 1994.

183.  Fuzzy Sets, Neural Networks, and Soft Computing, co-edited with R.R. Yager, New York: Van Nostrand Reinhold, 1994.

184.  The role of fuzzy logic in modeling, identification and control, Modeling Identification and Control 15(3): 191-203, 1994.

185.  Why the success of fuzzy logic is not paradoxical, IEEE Expert 9(4): 43-45, 1994.

186.  Soft computing and fuzzy logic, IEEE Software 11(1-6): 48-56, 1994.

187.  Probability theory and fuzzy logic are complementary rather than competitive, Technometrics 37, 271-276, 1995.

188.  Fuzzy logic and soft computing, co-edited with B. Bouchon-Meunier and R. Yager, Singapore: World Scientific, 1995.

189.  Fuzzy logic = computing with words, IEEE Transactions on Fuzzy Systems 2, 103-111, 1996.

190.  The evolution of systems analysis and control: a personal perspective, Control Systems Magazine 16, 95-98, 1996.

191.  Fuzzy control: a personal perspective, Control Engineering, 51-52, 1996.

192.  Fuzzy control: issues, contentions and perspectives, IFAC '96 Proceedings, 35-37, 1996.

193.  Fuzzy logic and the calculi of fuzzy rules and fuzzy graphs, Multiple-Valued Logic 1, 1-38, 1996.

194.  The roles of fuzzy logic and soft computing in the conception, design and deployment of intelligent systems, British Telecom Journal 14, 32-36, 1996.                                       

195.  Genetic algorithms and fuzzy logic systems: soft computing perspectives, co-edited with E. Sanchez and T. Shibata, Singapore: World Scientific, 1996.

196.  Industrial applications of fuzzy logic and intelligent systems, co-edited with J. Yen and R. Langari, New Jersey: IEEE Press, 1996.

197.  Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic, Fuzzy Sets and Systems 90, 111-127, 1997.                                 

198.  Applications of fuzzy logic: toward high machine intelligence quotient systems, co-edited with M. Jamshidi, A. Title and S. Boverie, Upper Saddle River NJ: Prentice Hall, 1997.

199.  Some reflections on the relationship between AI and fuzzy logic (FL) --a heretical view, Fuzzy Logic in Artificial Intelligence IJCAI'97 Workshop Nagoya, Japan, 1-21, 1997.

200.  Some reflections on soft computing, granular computing and their roles in the conception, design and utilization of information/intelligent systems, Soft Computing 2, 23-25, 1998.

201.  Maximizing sets and fuzzy Markoff algorithms, IEEE Transactions on Systems, Man, and Cybernetics Part C 28, 9-15, 1998.

202.  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.                                                                                               

203.  Fuzzy logic, The MIT Encyclopedia of the Cognitive Sciences, edited by R.A. Wilson and F.C. Keil, Cambridge: The MIT Press, 335-336, 1999.

204.  Information, uncertainty and fusion, R. R. Yager, B. Bouchon-Meunier and (Eds.), Boston: Kluwer, 1999.

205.  Computing with words in information/intelligent systems, co-edited with J. Kacprzyk, Heidelberg: Physica-Verlag, 1999.                                                                            

206.  The birth and evolution of fuzzy logic --a personal perspective (Parts 1 and 2), Journal of Japan Society for Fuzzy Theory and Systems 11 (6), 3-17, 1999.

207.  Outline of a computational theory of perceptions based on computing with words, Soft Computing & Intelligent Systems: Theory and Applications, N.K. Sinha, M.M. Gupta and Lotfi A. Zadeh (Eds.), London: Academic Press, 3-22, 2000.                                                   

208.  Information, Uncertainty and Fusion, co-editor, Boston: Kluwer Academic Publishers, 2000

209.  Uncertainty in intelligent and information systems, co-editor, Singapore: World Scientific, 2000

210.  Soft computing and intelligent systems, honorary editor, New York: Academic Press, 2000

211.  Toward a logic of perceptions based on fuzzy logic, Discovering the World with Fuzzy Logic, Heidelberg N.Y: Physica-Verlag, Vol. 57, 4-28, 2000.                                                  

212.  A new direction in AI—toward a computational theory of perceptions, AI Magazine, Vol. 22, No. 1, 73-84, 2001.                                                                                 

213.  Toward a perception-based theory of probabilistic reasoning, Rough Sets and Current Trends in Computing: Wojciech Ziarko, Yiyu Yao and Lotfi A. Zadeh (Eds.), Berlin Heidelberg: Springer-Verlag, Vol. 2005, 46-48, 2001.

214.  Some reflections on information granulation and its centrality in granular computing, computing with words, the computational theory of perceptions and precisiated natural language, Data Mining, Rough Sets and Granular Computing: Tsau Young Lin, Yiyu Y. Yao and Lotfi A. Zadeh (Eds.), Heidelberg: Physica-Verlag, Vol. 95, 3-20, 2002.                   

215.  Data mining, rough sets and granular computing, Studies in Fuzziness and Soft Computing: Tsau Young Lin, Yiyu Y. Yao and Lotfi A. Zadeh (Eds.), Heidelberg: Physica-Verlag, Vol. 95, 2002.

216.  Causality is indefinable - towards a theory of hierarchical definability, in: Intelligence in a Materials World: Selected Papers from IPMM-2001, The Third International Conference on Intelligent Processing and Manufacturing of Materials; Editors: J.A. Meech et al, CRC Press, Boca Raton, FL, 29-34, 2002.

217.  Toward a perception-based theory of probabilistic reasoning with imprecise probabilities, Journal of Statistical Planning and Inference, Elsevier Science, Vol. 105, 233-264, 2002.

218.  Probability theory and fuzzy logic, Systems, Man and Cybernetics (SMC) Newsletter, Dec. 2002.

219.  From computing with numbers to computing with words—from manipulation of measurements to manipulation of perceptions, Computing with Words and Perceptions, International Journal of Applied Mathematics and Computer Science (AMCS): Danuta Rutkowska, Janusz Kacprzyk, and Lotfi A. Zadeh (Eds.), Poland: University of Zielona Gora Press, Vol. 12, No. 3, 307-324, 2002.

220.  Soft computing and intelligent data analysis in oil exploration, Developments in Petroleum Science: M. Nikravesh, F. Aminzadeh and L. Zadeh (Eds.), Elsevier Science, Vol. 51, 2003.

221.  Intelligent exploration of the web, Studies in Fuzziness and Soft Computing: P.S. Szczepaniak, J. Segovia, J. Kacprzyk, L. Zadeh (Eds.), Heidelberg: Physica-Verlag, Vol. 111, 2003.

222.  Fuzzy logic and the internet, Studies in Fuzziness and Soft Computing: Vincenzo Loia, Masoud Nikravesh and Lotfi A. Zadeh (Eds.), Heidelberg: Springer-Verlag, Vol. 137, 2004.

223.  Enhancing the power of the internet, Studies in Fuzziness and Soft Computing: Masoud Nikravesh, Ben Azvine, Ronald Yager and Lotfi A. Zadeh (Eds.), Heidelberg: Springer-Verlag, Vol. 139, 2004.

224.  Fuzzy partial differential equations and relational equations, Studies in Fuzziness and Soft Computing: Masoud Nikravesh, Victor Korotkikh and Lotfi A. Zadeh (Eds.), Heidelberg: Springer-Verlag, Vol. 142, 2004.

225.  A note on web intelligence, world knowledge and fuzzy logic, Data and Knowledge Engineering, Elsevier Science, Vol. 50, 291-304, 2004.

226.  Precisiated natural language (PNL), AI Magazine, Vol. 25, No. 3, 74-91, 2004.

227.  Probability theory and fuzzy logic—a radical view, Journal of the American Statistical Association, Vol. 99, No. 467, 880-881, 2004.

228.  From search engines to question-answering systems—the role of fuzzy logic, Progress in Informatics, No. 1, 1-3, 2005.

229.  Toward a generalized theory of uncertainty (GTU)—an outline, Information Sciences, Elsevier, Vol. 172, 1-40, 2005.

230.  From imprecise to granular probabilities, Fuzzy Sets and Systems, Elsevier, Vol. 154, 370-374, 2005.

231.  Web intelligence, world knowledge and fuzzy logic, Studies in Fuzziness and Soft Computing, Springer, Vol. 164, 1-18, 2005.

232.  From search engines to question answering systems—The problems of world knowledge, relevance, deduction and precisiation, Fuzzy Logic and the Semantic Web, Elie Sanchez (Ed.), Elsevier, Ch. 9, 163-210, 2006.

233.  Generalized theory of uncertainty (GTU)--principal concepts and ideas, Computational Statistics & Data Analysis 51, 15-46, 2006.

234.  Is there a need for fuzzy logic? Information Sciences, Vol. 178, No. 13, 2751-2779, 2008.

235.  Toward human level machine intelligence—is it achievable? The need for a paradigm shift, IEEE Computational Intelligence Magazine, Special Issue, August 2008.

236.  Fuzzy logic, Encyclopedia of Complexity and Systems Science, Springer, 3985-4009, 2009.

237.  Toward extended fuzzy logic—A first step, Fuzzy Sets and Systems, Elsevier, 2009.

238.  What computing with words means to me, IEEE Computational Intelligence Magazine: Discussion Forum, 20-26, 2010.

239.  A summary and update of “Fuzzy Logic”, GrC Conference Proceedings, 2010.

240.  Some reflections on the birth and evolution of fuzzy set theory, CSI Communications, 6-9, November 2010.   

241.  My life and work—A retrospective view, Applied and Computational Mathematics, Vol. 10, No. 1, Special Issue, 4-9, 2011.

242.  What is computing with words? Symposium on Turks and Science Proceedings, 2011.

243.  A note on Z-numbers, Information Sciences 181, 2923-2932, 2011.

244.  Fuzzy set theory and probability theory: what is the relationship? International Encyclopedia of Statistical Science Part 6, Springer, 563-566, 2011.

245.  Computing with WordsPrincipal Concepts and Ideas, In: Studies in Fuzziness and Soft Computing, Vol. 277, Berlin: Springer, 2012.

246.  Stochastic finite-state systems in control theory, Information Sciences, Vol. 251, 1-9, 2013.

247.  Toward a restriction-centered theory of truth and meaning (RCT), Information Sciences, Vol. 248, 1-14, 2013.

248.  A note on similarity-based definitions of possibility and probability, Information Sciences, Vol. 267, 334-336, 2014.

249.  A note on modal logic and possibility theory, Information Sciences, in review.

 

 

MISCELLANEOUS (Partial List)

 

 

  1. Some reflections on the anniversary of Fuzzy Sets and Systems, Editorial, Fuzzy Sets and Systems, Elsevier Science, Vol. 100: 5-7, 1998.
  2. Coping with the imprecision of the real world, Interview, Communications of the ACM, Vol. 27: 304-311, 1984.
  3. Lotfi Visions Part 1, Interview, Dr. Dobb’s Journal, Miller Freeman Publication, 216, pp. 44-52, 1994.
  4. Recognition Technology and Fuzzy Logic, Foreword, IEEE Transactions on Fuzzy Systems, Vol. 9, No.1, 2001.

 

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Description: Description: picture of Lotfi Zadeh
Professor Lotfi A. Zadeh

Short Curriculum Vitae
Principal employment and affiliations
Editorial affiliations
Presentations

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

Publications

 

 



 
 
 

 

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