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Titlebook: Nature-Inspired Design of Hybrid Intelligent Systems; Patricia Melin,Oscar Castillo,Janusz Kacprzyk Book 2017 Springer International Publi

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Optimization of Type-2 and Type-1 Fuzzy Integrator to Ensemble Neural Network with Fuzzy Weights AdjThe genetic algorithm and particle swarm optimization are used to optimize the type-2 and type-1 fuzzy integrator that work in the integration of the output for the ensemble neural network with three networks. One neural network uses type-2 fuzzy inference systems with Gaussian membership functions
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Interval Type-2 Fuzzy Possibilistic C-Means Optimization Using Particle Swarm Optimization with the goal of automatically finding the optimal number of clusters and the optimal lower and upper limit of Fuzzy and Possibility exponents of weight of the of the IT2FPCM algorithm, and also the centroids of clusters of each dataset tested with the IT2FPCM algorithm optimized using PSO.
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Choquet Integral and Interval Type-2 Fuzzy Choquet Integral for Edge Detectionnterval type-2 Choquet integral is proposed. The aggregation operator is used as a method to integrate the four gradients of the edge detector. Simulation results with real images and synthetic images are presented and the results show that the interval type-2 Choquet integral is able to improve the
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Bidding Strategies Based on Type-1 and Interval Type-2 Fuzzy Systems for Google AdWords Advertising final bidding price according to the performance of a campaign. This chapter proposes a bidding price controller based on a fuzzy inference system. Specifically, two approaches are considered: a type-1 fuzzy inference system, and an interval type-2 fuzzy inference system. The results show that the
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On the Graphical Representation of Intuitionistic Membership Functions for Its Use in Intuitionisticpproach is used and plots for several membership and non-membership functions are presented, including: triangular, Gaussian, trapezoidal, generalized bell, sigmoidal, and left-right functions. Plots of some operators used in fuzzy logic are also presented, i.e., union, intersection, implication, an
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A Gravitational Search Algorithm Using Type-2 Fuzzy Logic for Parameter Adaptationarameter and provide a different gravitation and acceleration to each agent in order to improve its performance. We test this approach with benchmark mathematical functions. Simulation results show the advantage of the proposed approach.
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