The Application of Fuzzy Logic for Managerial Decision Making Processes - Latest Research and Case Studies

This book addresses the latest research and applications of fuzzy management methods for business decisions. It showcases a broad set of applications and discusses topics such as measures for the quality of analytics outcomes in big data environments; how fuzzy management methods support the inclusion of human thinking and human behavior in decision making processes; how to generate better results with fuzzy management methods in cases of imprecise information; new personalization concepts enabled by fuzzy logic for the offering of customized products and services especially in the electronic market; and lastly the application of fuzzy analysis for executives using natural rather than computer language. The combination of research papers and case studies makes it a valuable resource both for researchers and practitioners in the digital economy.

List of contents

Logical Analogies Between Intuitionistic Fuzzy Sets and Rough Sets.- Enhanced Knowledge Management by Synchronizing Mind Maps andFuzzy Cognitive Maps.- Constraints and Wishes in Quantified Queries Merged by Asymmetric Conjunction.- Statistical Measures Obtained Using the Signed Distance Method and Others.- An Intuitionistic Fuzzy Service Model - Use Case for Swiss Health Platform.- A Modied Fuzzy TOPSIS Method Aggregating 8.921 Partial Rankings For Companies' Attractiveness.- A Fuzzy-Based Approach to Estimate Management Processes Risks.

Product details

• Assisted by: Andreas Meier (Editor), Edy Portmann (Editor), Kilian Stoffel (Editor), Luis Terán (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Hardback
• Released: 12.04.2017
• EAN: 9783319540474
• ISBN: 978-3-31-954047-4
• No. of pages: 103
• Dimensions: 159 mm x 11 mm x 244 mm
• Weight: 292 g
• Illustrations: XII, 103 p. 35 illus.
• Series: Fuzzy Management Methods
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > Application software; E-Business, E-Commerce, B, Data Mining, Business and Management, computer science, Electronic Commerce, E-commerce: business aspects, IT in Business, e-Commerce/e-business, e-Commerce and e-Business, e-Business/e-Commerce, Data Mining and Knowledge Discovery, Management science, Management information systems, Computer simulation, Computer modelling & simulation, Simulation and Modeling, Business Information Systems, Expert systems / knowledge-based systems, Business applications