Fuzzy multiple objective decision making (Q2849084)

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scientific article; zbMATH DE number 6208343
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Fuzzy multiple objective decision making
scientific article; zbMATH DE number 6208343

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    16 September 2013
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    multiobjective decision making
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    fuzzy decision making
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    fuzzy goal programming
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    Fuzzy multiple objective decision making (English)
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    The aim of the book is to describe mathematical tools for complex decision making which takes into account multiple objectives and provide a detailed description of selected application areas of the mathematical tools presented in the first part of the book.NEWLINENEWLINE The first part of the book is divided into 8 chapters. Chapter 1 contains a historical survey of the development of the multiple objective decision making and outlines the content of the book. The next two chapters are devoted to multiobjective evolutionary algorithms and goal programming based approaches. Chapter 4 describes various approaches to finding a compromise solution as a solution minimizing the weighted sum of distances from individual best ideal solutions or finding the compromise solution as a solution which is the closest to the so-called positive individual solution and the farthest to the so-called negative individual solution. Another proposed of finding a compromise solution described in this chapter is based on a fuzzy set approach. Chapter 5 deals with the so-called De Novo Programming approach, which ries to improve the level of reached total satisfaction by changing some parameters of the original problem. In this context, there are considered cases of changeable coefficients in the objective functions and changeable technological coefficients. Multilevel approach and envelopment analysis approach to multiobjective decision making including their fuzzy variants are investigated in the last two chapters of the first part.NEWLINENEWLINE The second part of the book is devoted to applications. This part is devided into 8 chapters (chapters 9--16). The applications considered are oriented to resource allocations, multiobjective planning for supply chain production specialized to bicycle manufacturer case, analyzing interdependencies in multiobjective programming, uncertain portfolio selection, optimal planning for designing relief delivery systems, productivity efficiency for global telecoms, fuzzy multiobjective programming approach to interval piecewise regression models.NEWLINENEWLINE An extensive list of references, explanatory notes to the material of the book and index conclude the book.
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