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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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Participatory Search in Evolutionary Fuzzy Modeling,al. This chapter introduces participatory search, a class of population-based search algorithms constructed upon the participatory learning paradigm. Participatory search relies on search mechanisms that progress forming pools of compatible individuals. The individual that is the most compatible wit
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But, What Is It Actually a Fuzzy Set?,asoning in ‘Computing with Words’, the paper deals with the basic concept of a fuzzy set. That is, not only with the collective a linguistic label generates in language, but also with what membership functions reflect on it once ideally seen as measures of meaning.
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Gradual Numbers and Fuzzy Solutions to Fuzzy Optimization Problems,ast with fuzzy sets that assign membership values to elements, can be found in papers by Verdegay in the early 1980, following a line of thought opened by Orlovsky. They are so-called fuzzy solutions to fuzzy optimization problems. The notion of fuzzy element, and more specifically gradual number sh
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Using Fuzzy Measures to Construct Multi-criteria Decision Functions,elationship between the criteria is expressed using a fuzzy measure. We then use the Choquet integral to construct decision functions based on the measure. We look at a number of different decision functions generated from specific classes of measures.
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A Modal Account of Preference in a Fuzzy Setting,zzy preferences on subsets, and we characterise different possibilities. Based on their properties, we then semantically define and axiomatize several two-tiered graded modal logics to reason about the corresponding different notions of fuzzy preferences.
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On Possibilistic Dependencies: A Short Survey of Recent Developments,sibilistic covariance between marginal distributions of a joint possibility distribution as the average value of the interactivity relation between the level sets of its marginal distributions. Fullér et al. introduced the possibilistic correlation ratio, the possibilistic correlation coefficient an
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The Single Parameter Family of Gini Bonferroni Welfare Functions and the Binomial Decomposition, Tring structure of the latter, which progressively focus on the poorest part of the population. In relation with the generalized Gini welfare functions, we introduce measures of transfer sensitivity and positional transfer sensitivity and we illustrate the behaviour of the binomial welfare functions .
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1434-9922 real-world applications.Offers a review of soft-computing ap.This book offers a timely snapshot of current soft-computing research and solutions to decision-making and optimization problems, which are ubiquitous in the current social and technological context, addressing fields including logistics,
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