Titlebook: International Joint Conference SOCO’14-CISIS’14-ICEUTE’14; Bilbao, Spain, June José Gaviria Puerta,Iván García Ferreira,Emilio Co Conferen

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An Approach of Fuzzy Models for Supplier Assessment and Selection,long term commitments and performance of the company. Good suppliers allow enterprises to achieve good manufacturing performance and make the maximum benefits for practitioners. This paper outlines some current approaches of fuzzy models which are implemented in the terms to improve supplier assessment and selection decision making.

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2194-5357 oft Computing Models in Industrial and Environmental Applica.This volume of Advances in Intelligent and Soft Computing contains accepted papers presented at SOCO 2014, CISIS 2014 and ICEUTE 2014, all conferences held in the beautiful and historic city of Bilbao (Spain), in June 2014. Soft computing

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Conference proceedings 2014s held in the beautiful and historic city of Bilbao (Spain), in June 2014. Soft computing represents a collection or set of computational techniques in machine learning, computer science and some engineering disciplines, which investigate, simulate, and analyze very complex issues and phenomena.. Af

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A Proposal of Good Practice in the Formulation and Comparison of Meta-heuristics for Solving Routinre introduced step by step. Although these good practices can be applied for any type of combinatorial optimization problem, the literature of this study is focused in routing problems. This field has been chosen due to its importance in the real world, and its great relevance in the literature.

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KNN Regression as Geo-Imputation Method for Spatio-Temporal Wind Data, compared to three other methods. The evaluation is based on four turbines with neighbors of the NREL Western Wind Data Set and the values are missing uniformly distributed. The results show that kNN regression is the most superior method for imputation.

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https://doi.org/10.1007/978-3-319-07995-0CISIS 2014; CISIS 2014 Proceedings; Computational Intelligence Information Systems; Computational Intel

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