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Titlebook: Computational Intelligence; Revised and Selected Kurosh Madani,António Dourado,Joaquim Filipe Conference proceedings 2013 Springer-Verlag B

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Multivariate Stochastic Orders,n this paper we address both problems by proposing an algorithm to obtain a fuzzy discretization of numerical attributes from input data that show imprecise values in both numerical and nominal attributes. To evaluate the proposed algorithm we analyze the results on a set of datasets from different real-world problems.
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Stochastic Convexity and Concavity,ral filter is reformulated in the field of fuzzy logic. It is then extended to take into account impulse noise by using a density based function in the fuzzification step. This leads to a robust filter against outliers.
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Conference proceedings 2013 held in Paris, France, from 24 to 26 October 2011. The conference was composed of three co-located conferences:  The International Conference on Fuzzy Computation (ICFC), the International Conference on Evolutionary Computation (ICEC), and the International Conference on Neural Computation (ICNC).
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1860-949X ance, October 2011.Written by leading experts in the field.The present book includes a set of selected extended papers from the third International Joint Conference on Computational Intelligence (IJCCI 2011), held in Paris, France, from 24 to 26 October 2011. The conference was composed of three co-
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Solution of a Modified Balanced Academic Curriculum Problem Using Evolutionary Strategieso have some courses in a specific period. This problem is modeled as an integer programming problem and is proposed the use of evolutionary strategies for its solution because was not possible to find solutions for all the instances of this modified problem with formal methods.
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Solving the CVRP Problem Using a Hybrid PSO Approach CVRP (cluster first and route second) has been adopted in the algorithm. To save computation time, a short solution representation has been adopted. The computational results demonstrate that our hybrid algorithm can effectively solve CVRPs within reasonable time.
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Generating Fuzzy Partitions from Nominal and Numerical Attributes with Imprecise Valuesn this paper we address both problems by proposing an algorithm to obtain a fuzzy discretization of numerical attributes from input data that show imprecise values in both numerical and nominal attributes. To evaluate the proposed algorithm we analyze the results on a set of datasets from different real-world problems.
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Conference proceedings 2013Recent progresses in scientific developments and applications in these three areas are reported in this book. IJCCI received 283 submissions, from 59 countries, in all continents. This book includes the revised and extended versions of a strict selection of the best papers presented at the conference. .
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