Fuzzy logic, neural networks, and soft computing

Subscribe (Full Service)


	Search: The ACM Digital Library The Guide

	Feedback

Fuzzy logic, neural networks, and soft computing

Full text

Pdf (2.17 MB)

Source

Communications of the ACM archive
Volume 37 , Issue 3 (March 1994) table of contents

Pages: 77 - 84

Year of Publication: 1994

ISSN:0001-0782

Author

Lotfi A. Zadeh

Univ. of California, Berkeley

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 93, Downloads (12 Months): 578, Citation Count: 49

Additional Information:

references cited by index terms review collaborative colleagues

Tools and Actions:	Request Permissions Review this Article Save this Article to a Binder Display Formats: BibTeX EndNote ACM Ref

DOI Bookmark:	Use this link to bookmark this Article: http://doi.acm.org/10.1145/175247.175255 What is a DOI?

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Bellman, R.E and Zadeh, L.A. Decision-making in a fuzzy environment. Manage. Sci. 17, (1970), B141-B-164
	2	Berenji, H.R. Fuzzy logic controllers. In An Introduction to Fuzzy Logic Applications in Intelligent System.. Kluwer Academic Publishers, Boston, 1991, 69-96.
	3	John Hertz , Anders Krogh , Richard G. Palmer, Introduction to the theory of neural computation, Addison-Wesley Longman Publishing Co., Inc., Boston, MA, 1991
	4	Jang, J-S.R. ANFS: Adaptive- Network-based fuzzy inference systems. IEEE Tra.n.s. Syst, Man Cybnet. 23, 3 (May 1992).
	5	Jang, J.S.R. Self-learning fuzzy con troller based on temporal back-propagation. IEEE Trans Neural Netw. 3, 5 (Sept. 1992), 714-723.
	6	Chuck Karr, Genetic algorithms for fuzzy controllers, AI Expert, v.6 n.2, p.26-33, Feb. 1991
	7	Arnold Kaufmann , Madan M. Gupta, Fuzzy Mathematical Models in Engineering and Management Science, Elsevier Science Inc., New York, NY, 1988
	8	Kaufmann, A and Gupta, M.M. Intoduction to Fuzzy Arthmetic. Van Nostrand, New York, 1985.
	9	Bart Kosko, Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence, Prentice-Hall, Inc., Upper Saddle River, NJ, 1991
	10	Langavi, R. and Berenji, H.R. Fuzzy logic Fuzzylogic controller. Part I book of Intelligent Control. Van Nostrand, New York, 1992.
	11	Lee, C.C.., Fuzzy logic in control systems: Fuzzylogic controller. Part I and Part II. IEEE. Trans. syst. man Cybernet. 20 ,(1990)
	12	Lee M.A and Takagi, H. Integrating design stages of fuzzy systems using genetic algorithms. In Proceedings of the second international conference on Fuzy Systems (FUZZ-IEEE '93) (MAR. 28-April. 1, 1993). IEEE, New York, 1993 pp 612-617.
	13	Chin-Teng Lin , C. S. George Lee, Neural-Network-Based Fuzzy Logic Control and Decision System, IEEE Transactions on Computers, v.40 n.12, p.1320-1336, December 1991 [doi>10.1109/12.106218]
	14	Mamdani, E,H. Assilian, S. An experiment in linguistic synthesis with a fuzzy logic controller. Int.J Man-Machine Stud.,7, 1975.
	15	E. H. Mamdani , B. R. Gaines, Fuzzy Reasonings and Its Applications, Academic Press, Inc., Orlando, FL, 1981
	16	Constantin Virgil Negoita, Expert systems and fuzzy systems, Benjamin-Cummings Publishing Co., Inc., Redwood City, CA, 1984
	17	Witold Pedrycz, Fuzzy control and fuzzy systems, John Wiley & Sons, Inc., New York, NY, 1989
	18	Michio Sugeno, Industrial Applications of Fuzzy Control, Elsevier Science Inc., New York, NY, 1985
	19	M. Sugeno , G. T. Kang, Structure identification of fuzzy model, Fuzzy Sets and Systems, v.28 n.1, p.15-33, October 1988 [doi>10.1016/0165-0114(88)90113-3]
	20	Hideyuki Takagi , Isao Hayashi, NN-driven fuzzy reasoning, International Journal of Approximate Reasoning, v.5 n.3, p.191-212, May 1991 [doi>10.1016/0888-613X(91)90008-A]
	21	Takagi T. and Sugeno, M. Fuzzy idendfication of systems and its applications ,of modeling and control. IEEE Trans. Syst..Man Cybernet. 1985 116-132
	22	Togai, M. and Watanabe, H. An inference engine for real-time approximate reasoning ; Toward an expert system on a chip. IEEE Exp, 1 (1986), 55-62.
	23	I. B. Turksen, Approximate reasoning for production planning, Fuzzy Sets and Systems, v.26 n.1, p.23-37, April, 1988 [doi>10.1016/0165-0114(88)90003-6]
	24	Wang, L.-X. Stable adapdve fuzzy control of non-linear systems, IEEE Trans. Fuzzy Syst. 1,1 (Feb, 1993).
	25	Ronald R. Yager , Lotfi A. Zadeh, An Introduction to Fuzzy Logic Applications in Intelligent Systems, Kluwer Academic Publishers, Norwell, MA, 1992
	26	Yasunobu, S. and Myamoto, .S.Automatic train operation by predictive fuzzy control, In Industrial Apllications of Fuzzy Control. North Holland, Amsterdam, 1985.
	27	Zadeh, I..A. The Calculus of fuzzy if- then rules. AI Exp. 7.3 (mar1992).22-27.
	28	Zadeh, IoA. A Fuzzy-algorithmic approach to the definition of complex or imprecise concepts. Electronics Res. Lab. Rep. ERL-M474, Unix,. of Calf fornia, Berkeley. 1974. Also in .Int, .J. Man-Machine Stud. 8 (1976), 249- 291.
	29	Zadeh, L.A. The concept, of linguistic variable and its application to approximate reasoning-I. Inf.Sci. 8, (1975), 199-249.
	30	Zadeh, L.A. On the analysis of large scale systems, In Systems Approaches and Environment,problems Vandenhoeck and Ruprecht, Gottingen, Germany, 1974, 23--37.
	31	Zadeh, L.A.. Outline of a new approach to the analysis of complex sy tems and decision processes. IEEE Trans Syst. man Cybnet, SMC..3: (1973), 28-44,
	32	Zadeh, L.A. Toward a theory of fuzzy systems. In Aspects of Network and System Theory. Rinehart and Winston New York, 1971,469-490,
	33	Zadeh, L,A. Thinking machines-a new field in electrical engineering. Columbia Eng. 3. (1950), 12-13, 30, 3l
	34	Zadeh, L.A. and Yager, R,R,, Eds. Un certainty in Knowledge bases. Springer Verlag, Berlin, 1991.
	35	H.-J. Zimmermann, Fuzzy set theory—and its applications (3rd ed.), Kluwer Academic Publishers, Norwell, MA, 1996

CITED BY 49

	Vincenzo Catania , Giuseppe Ficili , Sergio Palazzo , Daniela Panno, A comparative analysis of fuzzy versus conventional policing mechanisms for ATM networks, IEEE/ACM Transactions on Networking (TON), v.4 n.3, p.449-459, June 1996
	Savitha Srinivasan , Dragutin Petkovic , Dulce Ponceleon, Towards robust features for classifying audio in the CueVideo system, Proceedings of the seventh ACM international conference on Multimedia (Part 1), p.393-400, October 30-November 05, 1999, Orlando, Florida, United States
	Giuseppe Ascia , Vincenzo Catania , Biagio Giacalone , Marco Russo , Lorenzo Vita, Designing for Parallel Fuzzy Computing, IEEE Micro, v.15 n.6, p.76.1-76.11, December 1995
	Giovanni Bortolan , Witold Pedrycz, Linguistic neurocomputing: the design of neural networks in the framework of fuzzy sets, Fuzzy Sets and Systems, v.128 n.3, p.389-412, 16 June 2002
	Narasimha Bolloju , Mohamed Khalifa , Efraim Turban, Integrating knowledge management into enterprise environments for the next generation decision support, Decision Support Systems, v.33 n.2, p.163-176, June 2002
	Sankar K. Pal , Sushmita Mitra , Pabitra Mitra, Rough-Fuzzy MLP: Modular Evolution, Rule Generation, and Evaluation, IEEE Transactions on Knowledge and Data Engineering, v.15 n.1, p.14-25, January 2003
	Ashraf M. Abdelbar , Emad A. M. Andrews , Donald C. Wunsch, II, Abductive reasoning with recurrent neural networks, Neural Networks, v.16 n.5-6, p.665-673, June 2003
	Lotfi A. Zadeh, Soft Computing and Fuzzy Logic, IEEE Software, v.11 n.6, p.48-56, November 1994
	Samuel H. Huang , Hao Xing, Extract intelligible and concise fuzzy rules from neural networks, Fuzzy Sets and Systems, v.132 n.2, p.233-243, December 2002
	W. L. Tung , C. Quek , P. Cheng, GenSo-EWS: a novel neural-fuzzy based early warning system for predicting bank failures, Neural Networks, v.17 n.4, p.567-587, May 2004
	Sankar K. Pal, Soft data mining, computational theory of perceptions, and rough-fuzzy approach, Information Sciences: an International Journal, v.163 n.1-3, p.5-12, 14 June 2004
	Giuseppe Ascia , Vincenzo Catania , Daniela Panno, An evolutionary management scheme in high-performance packet switches, IEEE/ACM Transactions on Networking (TON), v.13 n.2, p.262-275, April 2005
	Lotfi A. Zadeh, A note on web intelligence, world knowledge and fuzzy logic, Data & Knowledge Engineering, v.50 n.3, p.291-304, September 2004
	Chunlin Zhang , Ju Jiang , Mohamed Kamel, Intrusion detection using hierarchical neural networks, Pattern Recognition Letters, v.26 n.6, p.779-791, 1 May 2005
	Lotfi A. Zadeh, Responses to Elkan (Lotfi A. Zadeh), IEEE Expert: Intelligent Systems and Their Applications, v.9 n.4, p.43-46, August 1994
	Vincenzo Catania , Michele Malgeri , Marco Russo, Applying Fuzzy Logic to Codesign Partitioning, IEEE Micro, v.17 n.3, p.62-70, May 1997
	John Yen, Fuzzy Logic-A Modern Perspective, IEEE Transactions on Knowledge and Data Engineering, v.11 n.1, p.153-165, January 1999
	Daowen Qiu , Huaiqing Wang, A probabilistic model of computing with words, Journal of Computer and System Sciences, v.70 n.2, p.176-200, March 2005
	Zeungnam Bien , Won-Chul Bang , Do-Yoon Kim , Jeong-Su Han, Machine intelligence quotient: its measurements and applications, Fuzzy Sets and Systems, v.127 n.1, p.3-16, 1 April 2002
	Fabio Crestani , Gabriella Pasi, Handling vagueness, subjectivity, and imprecision in information access: an introduction to the special issue, Information Processing and Management: an International Journal, v.39 n.2, p.161-165, March 2003
	W. L. Tung , C. Quek, GenSo-FDSS: a neural-fuzzy decision support system for pediatric ALL cancer subtype identification using gene expression data, Arificial Intelligence in Medicine, v.33 n.1, p.61-88, 1 January 2005
	Enrique Herrera-Viedma , Gabriella Pasi, Soft approaches to information retrieval and information access on the Web: An introduction to the special topic section: Special Topic Section on Soft Approaches to Information Retrieval and Information Access on the Web, Journal of the American Society for Information Science and Technology, v.57 n.4, p.511-514, February 2006
	Kai Keng Ang , Chai Quek, RSPOP: Rough Set–Based Pseudo Outer-Product Fuzzy Rule Identification Algorithm, Neural Computation, v.17 n.1, p.205-243, January 2005
	Tadeusz A. Grzeszczyk, Approximate reasoning in structural funds knowledge management system, Proceedings of the 4th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering Data Bases, p.1-6, February 13-15, 2005, Salzburg, Austria
	David M. Dutton , Gerard V. Conroy, A review of machine learning, The Knowledge Engineering Review, v.12 n.4, p.341-367, December 1997
	Sergey A. Butenkov , Vitaly V. Krivsha , Al Dhouyani Saud, Granular computing in computer image perception: basic issues and glass box models, Proceedings of the 24th IASTED international conference on Artificial intelligence and applications, p.462-467, February 13-16, 2006, Innsbruck, Austria
	Surasak Sanguanpong , Urupoj Kanlayasiri, Worm damage minimization in enterprise networks, International Journal of Human-Computer Studies, v.65 n.1, p.3-16, January, 2007
	Stefan Schmidt , Robert Steele , Tharam S. Dillon , Elizabeth Chang, Fuzzy trust evaluation and credibility development in multi-agent systems, Applied Soft Computing, v.7 n.2, p.492-505, March, 2007
	Bertrand Zavidovique , Vito Di Gesú, Pyramid symmetry transforms: From local to global symmetry, Image and Vision Computing, v.25 n.2, p.220-229, February, 2007
	Dan Hyung Lee , Kwang Chun Lee , Sungwon Kang , Jongmoon Baik, A priori ordering protocols to support consensus-building in multiple stakeholder contexts, Information Sciences: an International Journal, v.177 n.15, p.3129-3150, August, 2007
	Woongki Baek , JaeWoong Chung , Chi Cao Minh , Christos Kozyrakis , Kunle Olukotun, Towards soft optimization techniques for parallel cognitive applications, Proceedings of the nineteenth annual ACM symposium on Parallel algorithms and architectures, June 09-11, 2007, San Diego, California, USA
	A. Scott Lewis , Lora G. Weiss, Intelligent autonomy and performance metrics for multiple, coordinated UAVs, Integrated Computer-Aided Engineering, v.12 n.3, p.251-262, July 2005
	B. Azvine , W. Wobcke, Human-centred Intelligent Systems and Soft Computing, BT Technology Journal, v.16 n.3, p.125-133, July 1998
	Arun D. Kulkarni, Neural-Fuzzy Models for Multispectral Image Analysis, Applied Intelligence, v.8 n.2, p.173-187, March-April 1998
	Arun D. Kulkarni , Charles D. Cavanaugh, Fuzzy Neural Network Models for Classification, Applied Intelligence, v.12 n.3, p.207-215, May-June 2000
	J. Galindo , P. Tamayo, Credit Risk Assessment Using Statistical and MachineLearning: Basic Methodology and Risk Modeling Applications, Computational Economics, v.15 n.1-2, p.107-143, April 2000
	M. N. Nguyen , D. Shi , C. Quek, A nature inspired Ying-Yang approach for intelligent decision support in bank solvency analysis, Expert Systems with Applications: An International Journal, v.34 n.4, p.2576-2587, May, 2008
	E. Burdet , M. Nuttin, Learning Complex Tasks Using a Stepwise Approach, Journal of Intelligent and Robotic Systems, v.24 n.1, p.43-68, January 1999
	B. Azvine , D. Nauck , C. Ho, Intelligent Business Analytics — A Tool to Build Decision-Support Systems for eBusinesses, BT Technology Journal, v.21 n.4, p.65-71, 2003
	Mahdi Hamzeh , Hamid Reza Mahdiani , Ahmad Saghafi , Sied Mehdi Fakhraie , Caro Lucas, Computationally efficient active rule detection method: Algorithm and architecture, Fuzzy Sets and Systems, v.160 n.4, p.554-568, February, 2009
	A. Agrawal , N. Kumar , M. Radhakrishna, Multispectral image classification: a supervised neural computation approach based on rough-fuzzy membership function and weak fuzzy similarity relation, International Journal of Remote Sensing, v.28 n.20, p.4597-4608, October 2007
	Minas Pertselakis , Andreas Stafylopatis, Dynamic modular fuzzy neural classifier with tree-based structure identification, Neurocomputing, v.71 n.4-6, p.801-812, January, 2008
	Sanguk Noh , Gihyun Jung , Kyunghee Choi , Cheolho Lee, Compiling network traffic into rules using soft computing methods for the detection of flooding attacks, Applied Soft Computing, v.8 n.3, p.1200-1210, June, 2008
	Zeki Ayaǧ , Rıfat Gürcan Özdemir, A combined fuzzy AHP-goal programming approach to assembly-line selection, Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology, v.18 n.4, p.345-362, December 2007
	Asunción Mochón , David Quintana , Yago Sáez , Pedro Isasi, Soft computing techniques applied to finance, Applied Intelligence, v.29 n.2, p.111-115, October 2008
	Dingwei Wang , Richard Y. K. Fung , W. H. Ip, An immune-genetic algorithm for introduction planning of new products, Computers and Industrial Engineering, v.56 n.3, p.902-917, April, 2009
	Ahmet Yardimci, Soft computing in medicine, Applied Soft Computing, v.9 n.3, p.1029-1043, June, 2009
	Hanlin Goh , Joo-Hwee Lim , Chai Quek, Fuzzy associative conjuncted maps network, IEEE Transactions on Neural Networks, v.20 n.8, p.1302-1319, August 2009
	Vahid Khatibi , Gholam Ali Montazer, Intuitionistic fuzzy set vs. fuzzy set application in medical pattern recognition, Arificial Intelligence in Medicine, v.47 n.1, p.43-52, September, 2009

INDEX TERMS

Primary Classification:
I. Computing Methodologies
I.2 ARTIFICIAL INTELLIGENCE
I.2.3 Deduction and Theorem Proving
Subjects: Uncertainty, "fuzzy," and probabilistic reasoning

Additional Classification:
G. Mathematics of Computing

I. Computing Methodologies
I.2 ARTIFICIAL INTELLIGENCE
I.2.6 Learning
Subjects: Connectionism and neural nets

General Terms:
Theory

REVIEW

"Yu-Wen Tung : Reviewer"

The term “soft” computing refers to a way of solving problems similar to that of humans, which is often imprecise but more effective than precise approaches. This idea was first expressed by Zadeh himself some 20 years ago, and is more...

Collaborative Colleagues:

Lotfi A. Zadeh: colleagues

Adobe Acrobat

QuickTime

Windows Media Player

Real Player