Basics of Soft Computing Methods

Zadeh (1994) introduced the term “Soft Computing” for the first time. He used the term to mean systems that “exploit the tolerance for imprecision, uncertainty, and partial truth to achieve tractability, robustness, low solution cost, and better rapport with reliability”. It includes fuzzy logic, neural computing, evolutionary computing and probabilistic computing as main methodologies. Like any other concept, also Soft Computing has many definitions.

[1]  Dr. Hans Hellendoorn,et al.  An Introduction to Fuzzy Control , 1996, Springer Berlin Heidelberg.

[2]  Gordon Wells,et al.  AN INTRODUCTION TO NEURAL NETWORKS , 1992 .

[3]  Lotfi A. Zadeh,et al.  The Concepts of a Linguistic Variable and its Application to Approximate Reasoning , 1975 .

[4]  Henk B. Verbruggen,et al.  Fuzzy control and conventional control: What is (and can be) the real contribution of Fuzzy Systems? , 1997, Fuzzy Sets Syst..

[5]  Susan I. Hruska,et al.  Back-propagation learning in expert networks , 1992, IEEE Trans. Neural Networks.

[6]  E. Oja Adaptive and intelligent systems applications , 1999, SMCia/99 Proceedings of the 1999 IEEE Midnight - Sun Workshop on Soft Computing Methods in Industrial Applications (Cat. No.99EX269).

[7]  Geoffrey E. Hinton,et al.  Learning internal representations by error propagation , 1986 .

[8]  Teuvo Kohonen,et al.  Self-Organizing Maps , 2010 .

[9]  Didier Dubois,et al.  Fuzzy sets: A survey of engineering applications , 1993 .

[10]  Jyh-Shing Roger Jang,et al.  ANFIS: adaptive-network-based fuzzy inference system , 1993, IEEE Trans. Syst. Man Cybern..

[11]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[12]  Jyh-Shing Roger Jang,et al.  Self-learning fuzzy controllers based on temporal backpropagation , 1992, IEEE Trans. Neural Networks.

[13]  T. Ross Fuzzy Logic with Engineering Applications , 1994 .

[14]  Derek A. Linkens,et al.  Genetic algorithms for fuzzy control.1. Offline system development and application , 1995 .

[15]  Michio Sugeno,et al.  Fuzzy identification of systems and its applications to modeling and control , 1985, IEEE Transactions on Systems, Man, and Cybernetics.

[16]  R. Babuška,et al.  A new identification method for linguistic fuzzy models , 1995, Proceedings of 1995 IEEE International Conference on Fuzzy Systems..

[17]  Zbigniew Michalewicz,et al.  Genetic Algorithms + Data Structures = Evolution Programs , 1996, Springer Berlin Heidelberg.

[18]  Peter J. Gawthrop,et al.  Neural networks for control systems - A survey , 1992, Autom..

[19]  H. Ishigami,et al.  Structure optimization of fuzzy neural network by genetic algorithm , 1995 .

[20]  Ebrahim Mamdani,et al.  Applications of fuzzy algorithms for control of a simple dynamic plant , 1974 .

[21]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[22]  Donald A. Waterman,et al.  A Guide to Expert Systems , 1986 .

[23]  Samuel H. Huang,et al.  Neural-expert hybrid approach for intelligent manufacturing: a survey , 1995 .

[24]  J. V. Oliveira,et al.  Neuron inspired learning rules for fuzzy relational structures , 1993 .

[25]  Li-Xin Wang,et al.  Adaptive fuzzy systems and control - design and stability analysis , 1994 .

[26]  Li-Xin Wang,et al.  Adaptive fuzzy systems and control , 1994 .