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Titlebook: Applying Fuzzy Logic for the Digital Economy and Society; Andreas Meier,Edy Portmann,Luis Terán Book 2019 Springer Nature Switzerland AG 2

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期刊全称Applying Fuzzy Logic for the Digital Economy and Society
影响因子2023Andreas Meier,Edy Portmann,Luis Terán
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发行地址Presents big data applications for decision making under uncertainty, vagueness and imprecision.Showcases the potential of fuzzy logic with infinite truth values in different domains of application.Pr
学科分类Fuzzy Management Methods
图书封面Titlebook: Applying Fuzzy Logic for the Digital Economy and Society;  Andreas Meier,Edy Portmann,Luis Terán Book 2019 Springer Nature Switzerland AG 2
影响因子This edited book presents the state-of-the-art of applying fuzzy logic to managerial decision-making processes in areas such as fuzzy-based portfolio management, recommender systems, performance assessment and risk analysis, among others. Presenting the latest research, with a strong focus on applications and case studies, it is a valuable resource for researchers, practitioners, project leaders and managers wanting to apply or improve their fuzzy-based skills.
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A Fuzzy-Based Discounts Recommender System for Public Tax Payment,tional and local governments is based on taxation. Increasing the income through tax payers has been and remains a challenge for government institutions. On the other hand, recommender systems (RSs) have presented evidence of successful results to improve business revenues in the field of eCommerce.
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Grey Number Based Methodology for Non-homogeneous Preference Elicitation in Fuzzy Risk Analysis Mane a proper and comprehensive decision when coping with the risks. Many practical risk analysis problems do not have flexibility with regards to knowledge elicitation and disagreements in the group. This is due to the non-homogeneous nature of risk analysts’ preferences that lead to inconsistent agre
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Fuzzy Bayesian Nets and Influence Diagrams with Cognitive Numerical Judgment of Imprecise Probabilirobabilities expressed by approximate numbers. Subjective probabilities are represented as information granules described by linguistic terms and modeled as triangular fuzzy numbers. The proposed optimization functions proved to be efficient in determination of feasible probability bounds, yet corre
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