Title	Applying Fuzzy Logic for the Digital Economy and Society [electronic resource] / edited by Andreas Meier, Edy Portmann, Luis Terán
Imprint	Cham : Springer International Publishing : Imprint: Springer, 2019
Edition	1st ed. 2019
Connect to	https://doi.org/10.1007/978-3-030-03368-2
Descript	XI, 207 p. 64 illus., 7 illus. in color. online resource

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

Testing Hypotheses by Fuzzy Methods: A Comparison with the Classical Approach -- Interpolative Boolean Approach for Fuzzy Portfolio Selection -- A Fuzzy-Based Discounts Recommender System for Public Tax Payment -- Fuzzy Based Investment Portfolio Management -- Z-numbers Based TOPSIS Similarity Methodology for Company Performance Assessment in Malaysia -- Modeling Human Perceptions in e-Commerce Applications. A case Study on Business-to-Consumers Websites in the Textile and Fashion Sector -- Grey Number Based Methodology for Non-Homogeneous Preference Elicitation in Fuzzy Risk Analysis Management -- Fuzzy Bayesian Nets and Influence Diagrams with Cognitive Numerical Judgment of Imprecise Probabilities -- Oilfield Abandonment Decision by Applying a Fuzzy Pay-Off Method for Real Options -- A Fuzzy-Based Recommender System - Case Börsenspiel for Swiss Universities