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Computational aspects and applications of a branch and bound algorithm for fuzzy multistage decision processes
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Control of a stochastic system in a fuzzy environment with a fuzzy termination time
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A branch-and-bound algorithm for the multistage control of a fuzzy system in a fuzzy environment
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Toward 'human-consistent' multistage decision making and control models via fuzzy sets and fuzzy logic
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Stochastic systems in fuzzy environments: Control
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M.G. Singh, Ed., Pergamon Press, Oxford
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J. Kacprzyk, "Stochastic systems in fuzzy environments: Control," in Systems and Control Encyclopedia, M.G. Singh, Ed., Pergamon Press, Oxford, 1987, pp. 4657-4661.
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A genetic algorithm for the multistage control of a fuzzy system in a fuzzy environment
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Yokohama, Japan
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J. Kacprzyk, "A genetic algorithm for the multistage control of a fuzzy system in a fuzzy environment," Proc. Joint 3rd Int. IEEE Conf. on Fuzzy Systems and 2nd Int. Symp. on Fuzzy Engineering (FUZZ-IEEE'95/IFES'95), Yokohama, Japan, 1995, Vol. III, pp. 1083-1088.
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Multistage fuzzy control using a genetic algorithm
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São Paolo, Brazil
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J. Kacprzyk, "Multistage fuzzy control using a genetic algorithm," Proc. 6th World Int. Fuzzy Systems Assoc. Congress, São Paolo, Brazil, 1995, Vol. II, pp. 225-228.
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A modified genetic algorithm for multistage control of a fuzzy system
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J. Kacprzyk, "A modified genetic algorithm for multistage control of a fuzzy system," Proc. 3rd European Congress on Intelligent Techniques and Soft Computing (EUFIT'95), Aachen, Germany, 1995, Vol. 1, pp. 463-466.
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Multistage control under fuzziness using genetic algorithms
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Multistage control of a stochastic system under fuzzy goals and constraints using a genetic algorithm
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A genetic algorithm for the multistage control of a fuzzy system in a fuzzy environment
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J. Kacprzyk, "A genetic algorithm for the multistage control of a fuzzy system in a fuzzy environment," Mathware & Soft Computing I, 3, 219-232 (1997).
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Fuzzy dynamic programming: Main developments and applications
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A new approach to the control of stochastic systems in a fuzzy environment
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