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Titlebook: Soft Computing Based Optimization and Decision Models; To Commemorate the 6 David A. Pelta,Carlos Cruz Corona Book 2018 Springer Internatio

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A Review of Soft Computing Techniques in Maritime Logistics and Its Related Fields,udy for applying the general frameworks of soft computing. In this environment, there is a significant lack of efficient approaches aimed at obtaining exact solutions of a wide variety of optimization problems arisen in this field and which are classified as hard from the perspective of the complexi
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Soft Computing Methods in Transport and Logistics,ncertainty that adds more complexity to the problems associated with planning and management. Soft Computing offers a set of methodologies capable of responding to these challenges. This work provides an overview of transport and logistics problems, as well as the most representative combinatorial o
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Applications of Soft Computing in Intelligent Transportation Systems,combine electronic, communication and information technologies with traffic engineering to respond to the former challenges. The benefits of Intelligent Transportation Systems have been extensively proved in many different facets of transport and Soft Computing has played a major role in achieving t
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Fuzzy Cognitive Maps Based Models for Pattern Classification: Advances and Challenges,n and cognitive mapping, this technique represents the knowledge of systems that are characterized by ambiguity and complexity. In short, FCMs can be defined as recurrent neural networks that include elements of fuzzy logic during the knowledge engineering phase. While the literature contains many s
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,Fuzzy Portfolio Selection Models for Dealing with Investor’s Preferences,se a fuzzy model for dealing with the vagueness of investor preferences on the expected return and the assumed risk, and then we consider several modifications to include additional constraints and goals.
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On Fuzzy Convex Optimization to Portfolio Selection Problem,according to the experience and knowledge of the investor, which subjective evaluations. Selecting these securities is defined as the portfolio selection problem and it can be classified as convex programming problems. These problems are of utmost importance in a variety of relevant practical fields
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Digital Coaching for Real Options Support,sion making in industrial and business contexts but is combining the classical models and algorithms with modern, advanced technology for handling data, information and knowledge. In work with managers in the forest industry, we found out that there is a growing interest to replace the classical net
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