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

✍ Scribed by Andreas Meier, Edy Portmann, Kilian Stoffel, Luis Terán (eds.)

• Publisher: Springer International Publishing
• Year: 2017
• Tongue: English
• Leaves: 108
• Series: Fuzzy Management Methods
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages i-xii
Logical Analogies Between Intuitionistic Fuzzy Sets and Rough Sets....Pages 1-14
Enhanced Knowledge Management by Synchronizing Mind Maps and Fuzzy Cognitive Maps....Pages 15-23
Constraints and Wishes in Quantified Queries Merged by Asymmetric Conjunction....Pages 25-34
Statistical Characteristics of Distributions Obtained Using the Signed Distance Defuzzification Method Compared to Other Methods....Pages 35-45
An Intuitionistic Fuzzy Service Model: Use Case for Swiss Health Platform....Pages 47-58
A Modified Fuzzy TOPSIS Method Aggregating 8.921 Partial Rankings For Companies’ Attractiveness....Pages 59-71
A Fuzzy-Based Approach to Estimate Management Processes Risks....Pages 73-84
Back Matter....Pages 85-103

✦ Subjects

Business Information Systems;e-Business/e-Commerce;e-Commerce/e-business;Data Mining and Knowledge Discovery;Simulation and Modeling