By Chennakesava R. Alavala

Fuzzy common sense and neural networks were mentioned intimately via illustrative examples, tools and widespread purposes. large and thoroughly chosen references is a useful source for extra learn of fuzzy good judgment and neural networks. every one bankruptcy is by way of a question financial institution that's meant to aid within the practise for exterior exam.

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Dubois, D. and H. Prade, Operations on Fuzzy Numbers, International Journal of Systems Science, Vol. 9, pp. 613-626, 1978. S. Watanable, A generalized fuzzy set theory, IEEE Transactions, on systems, man and cybernetics, Vol. 8, No. 10, pp. 756-759, 1978. S. Gottwald, Set theory for fuzzy sets of higher level, Fuzzy Sets and Systems, Vol. 2, No. 2, pp. 125-151, 1979. A. M. ), pp. 69-129, Westview Press, Boulder, 1981. A. 8, pp. 26-32, 1984. A. Zadeh, Fuzzy logic, IEEE Computer, Vol. 21, No. 4, pp.

3, pp. 229-244, 1987. 12. W. Oh and W. Bandler, Properties of fuzzy implication operators, International Journal of Approximate Reasoning, Vol. 1, No. 3, pp. 273-285, 1987. 40 FUZZY LOGIC AND NEURAL NETWORKS 13. P. Smets and P. Magrez, Implication in fuzzy logic, International Journal of Approximate Reasoning, Vol. 1, No. 4, pp. 327-347, 1987. 14. P. Smets and P. Magrez, The measure of the degree of truth and the grade of membership, Fuzzy Sets and Systems, Vol. 25, No. 1, pp. 67-72, 1988. 15. Z.

229-244, 1987. 12. W. Oh and W. Bandler, Properties of fuzzy implication operators, International Journal of Approximate Reasoning, Vol. 1, No. 3, pp. 273-285, 1987. 40 FUZZY LOGIC AND NEURAL NETWORKS 13. P. Smets and P. Magrez, Implication in fuzzy logic, International Journal of Approximate Reasoning, Vol. 1, No. 4, pp. 327-347, 1987. 14. P. Smets and P. Magrez, The measure of the degree of truth and the grade of membership, Fuzzy Sets and Systems, Vol. 25, No. 1, pp. 67-72, 1988. 15. Z. Cao and A.

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