Several intelligent computing technologies are becoming useful as alternate approaches to conventional techniques or as components of integrated systems. This chapter presents the fundamentals of individual intelligent technologies that will be important for understanding their integration.
KeywordsGenetic Algorithm Expert System Decision Support System Fuzzy System Intelligent System
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References for Further Reading
- Allman, W. (1989), Apprentices of Wonder, Bantam Books, New York.Google Scholar
- Buta, P. (1994), “Mining for-financial knowledge with CBR,” AI Expert, vol 9, no. 2, pp. 34–41.Google Scholar
- Caudill, M, and Butler, C. (1990), Naturally Intelligent Systems, MIT Press, Cambridge, MA.Google Scholar
- Hedberg, S. (1994), “Emerging genetic algorithms,” AI Expert, vol 9, no. 9, pp. 24–29.Google Scholar
- Lawton, G. (1992), “Genetic algorithms for scheduling optimization,” AI Expert, vol 7, no. 5, pp. 23–27.Google Scholar
- Munakata, T., and Jani, Y. (1994), “Fuzzy systems: an overview,” Communications of the ACM, vol 37, no. 3, pp. 69–76.Google Scholar
- Stottler, R. H. (1994), “CBR for cost and sales prediction,” AI Expert, vol 9, no. 8, pp. 24–33.Google Scholar
- Turban, E. (1992), Expert Systems and Applied Artificial Intelligence, Macmillan Publishing Company, New York.Google Scholar
- Zadeh, L. A. (1994b), “Fuzzy logic and the calculi of fuzzy rules, fuzzy graphs, and fuzzy probabilities,” Proceedings of the World Congress on Neural Networks, vol I, San Diego, pp. 695–696.Google Scholar