The Application of Fuzzy Logic for Managerial Decision Making Processes : Latest Research and Case Studies
Softcover reprint of the original 1st ed. 2017
Book Details
Format
Paperback / Softback
Book Series
Fuzzy Management Methods
ISBN-10
331985304X
ISBN-13
9783319853048
Edition
Softcover reprint of the original 1st ed. 2017
Publisher
Springer International Publishing AG
Imprint
Springer International Publishing AG
Country of Manufacture
GB
Country of Publication
GB
Publication Date
May 9th, 2018
Print length
103 Pages
Product Classification:
Social research & statisticsSocial research and statisticsE-commerce: business aspectsBusiness mathematics & systemsBusiness mathematics and systemsDigital and Information technology: general topicsInformation technology: general issuesData miningComputer modelling & simulationComputer modelling and simulationExpert systems / knowledge-based systems
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This book addresses the latest research and applications of fuzzy management methods for business decisions. 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;
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.
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