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Advances in Soft Computing: 10th Mexican International by Leticia Cervantes, Oscar Castillo, Patricia Melin (auth.),

By Leticia Cervantes, Oscar Castillo, Patricia Melin (auth.), Ildar Batyrshin, Grigori Sidorov (eds.)

The two-volume set LNAI 7094 and 7095 constitutes the refereed complaints of the tenth Mexican overseas convention on man made Intelligence, MICAI 2011, held in Puebla, Mexico, in November/December 2011. The ninety six revised papers awarded have been conscientiously chosen from XXX submissions. the second one quantity includes forty six papers targeting gentle computing. The papers are equipped within the following topical sections: fuzzy good judgment, uncertainty and probabilistic reasoning; evolutionary algorithms and different naturally-inspired algorithms; info mining; neural networks and hybrid clever platforms; and laptop imaginative and prescient and snapshot processing.

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Additional info for Advances in Soft Computing: 10th Mexican International Conference on Artificial Intelligence, MICAI 2011, Puebla, Mexico, November 26 - December 4, 2011, Proceedings, Part II

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5. Type-2 Fuzzy system for control Intelligent Control of Nonlinear Dynamic Plants Using a Hierarchical Modular Approach 6 11 Conclusions We use two benchmark problems and based on the obtained results we can say that to achieve control of the present problems, type-2 fuzzy logic is a good alternative to achieve good control. When we worked with a type-1 fuzzy system we obtained good results, but if we want to work with noise the previous good results will not be so good, in this case we need to work with type-2 and with this we obtained better results and also using a genetic algorithm to optimize the fuzzy system.

In: New Soft Computing Technology of KB-Design Benchmarks of Smart Control Simulation for Nonlinear Dynamic Systems, Universita degli Studi di Milano, Crema (2004) 4. : Quantum fuzzy inference for knowledge base design in robust intelligent controllers. J. of Computer and Systems Sciences Intern. 46(6), 908–961 (2007) 5. : Design of self-organized intelligent control systems based on quantum fuzzy inference: Intelligent system of systems engineering approach. In: Proc. of IEEE Internat. Conf. On Systems, Man and Cybernetics (SMC 2005), Hawaii, USA, vol.

Kluwer, Dordrecht (1996) 17. : A First Course in Fuzzy Logic. Chapman & Hall/CRC, Boca Raton (2006) 18. : Measurement Errors and Uncertainties: Theory and Practice. Springer, New York (2005) 19. : Error estimations for indirect measurements: randomized vs. deterministic algorithms for ‘black-box’ programs. , Rolim, J. ) Handbook on Randomized Computing, pp. 673–729. ru Abstract. This article describes a new method of quality control dynamically unstable object based on quantum computing. This method enables to control object in unpredicted situations with incomplete information about the structure of the control object.

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