1. J.E. Baker, Reducing bias and inefficiency in the selection algorithm, in: Proceedings of the Second International Conference on Genetic Algorithms (ICGA'87), Hillsdale, 1987, pp. 14–21
2. Fuzzy Rule-based Modelling with Application to Geophysical, Biological and Engineering System;Bardossy,1995
3. How to handle the flexibility of linguistic variables with applications;Bastian;International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems,1994
4. J.M. Benı́tez, J.L. Castro, I. Requena, FRUTSA: Fuzzy rule tuning by simulated annealing, International Journal of Approximate Reasoning (to appear)
5. P.P. Bonissone, P.S. Khedkar, Y.T. Chen, Genetic algorithms for automated tuning of fuzzy controllers, a transportation application, in: Proceedings of the Fifth IEEE International Conference on Fuzzy Systems (FUZZ-IEEE'96), New Orleans, 1996, pp. 674–680