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 inclusi...

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Bibliographic Details
Other Authors: Meier, Andreas, 1951- (Editor), Portmann, Edy, (Editor), Stoffel, Kilian, (Editor), Terán Tamayo, Luis Fernando, 1979- (Editor)
Format: eBook
Language: English
Published: Cham, Switzerland : Springer, [2017]
Series: Fuzzy management methods.
Subjects:
Management > Mathematical models.
Decision making > Mathematical models.
Fuzzy logic.
elektronické knihy
electronic books
ISBN: 9783319540481
9783319540474
Physical Description: 1 online resource : illustrations

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Table of contents

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020 |z 9783319540474 
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035 |a (OCoLC)980874957  |z (OCoLC)981704950  |z (OCoLC)981812347  |z (OCoLC)984868238  |z (OCoLC)1012018950  |z (OCoLC)1058598012  |z (OCoLC)1066431469 
245 0 4 |a The application of Fuzzy logic for managerial decision making processes :  |b latest research and case studies /  |c Andreas Meier, Edy Portmann, Kilian Stoffel, Luis Terán, editors. 
264 1 |a Cham, Switzerland :  |b Springer,  |c [2017] 
300 |a 1 online resource :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a počítač  |b c  |2 rdamedia 
338 |a online zdroj  |b cr  |2 rdacarrier 
490 1 |a Fuzzy management methods 
504 |a Includes bibliographical references and index. 
505 0 |a Preface; Organization; Proceedings; Executive Committee; Sponsoring Institutions; Technical Program Committee; Contents; Logical Analogies Between Intuitionistic Fuzzy Sets and Rough Sets; 1 An Introduction to Intuitionistic Fuzzy Sets; 2 T-norms and T-conorms Defined on the Lattice L; 3 Rough Sets and Their Representations; 4 Generalizing Nelson Logic via Intuitionistic Fuzzy Sets; 5 Conclusions; References; Enhanced Knowledge Management by Synchronizing Mind Maps and Fuzzy Cognitive Maps; 1 Introduction; 2 Theoretical Background; 2.1 Soft Computing; 2.2 Creativity Techniques. 
505 8 |a 2.3 Cognitive Computing3 The Conceptual Framework; 4 Use Case: Smart City App; 5 Conclusions and Outlook; References; Constraints and Wishes in Quantified Queries Merged by Asymmetric Conjunction; 1 Introduction; 2 Preliminaries of Quantified Queries; 3 Preliminaries of Preferences in Queries; 4 And If Possible Connective in Quantified Queries by Asymmetric Conjunction; 5 Illustrative Example and Discussion; 5.1 Illustrative Example; 5.2 Discussion; 6 Conclusion; References. 
505 8 |a Statistical Characteristics of Distributions Obtained Using the Signed Distance Defuzzification Method Compared to Other Methods1 Introduction and Motivation; 2 Defuzzification Methods; 3 Implementation; 4 Numerical Results; 4.1 The Mean and Median; 4.2 The Variance; 4.3 The Skewness; 5 Conclusion; Appendix; References; An Intuitionistic Fuzzy Service Model: Use Case for Swiss Health Platform; 1 Service Level Management; 2 Literature Review: Service Quality Impacts by Couplings; 3 Fuzzy-Based Intuitionistic Dependency Model; 3.1 Intuitionistic Fuzzy Direct Coupling Index. 
505 8 |a 3.2 Intuitionistic Fuzzy Indirect Coupling Index4 Applying the Concept to Swiss Health Platform; 4.1 Centris AG Service Model; 4.2 Determining the IFDCI for the Service Model; 4.3 Business Impact Assessment; 4.4 Case Study for a Clustered Load Balancer; 5 Conclusion; References; A Modified Fuzzy TOPSIS Method Aggregating 8.921 Partial Rankings For Companies' Attractiveness; 1 Introduction; 2 Methods; 2.1 Fuzzy Set Theory; 2.2 The Fuzzy TOPSIS Method; 2.3 The Proposed Fuzzy TOPSIS Method; 2.4 Borda-Kendall OWA (BK-OWA); 3 Problem Definition; 4 Results; 5 Discussion; 6 Conclusion; Appendix. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a 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. 
590 |a SpringerLink  |b Springer Complete eBooks 
650 0 |a Management  |x Mathematical models. 
650 0 |a Decision making  |x Mathematical models. 
650 0 |a Fuzzy logic. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Meier, Andreas,  |d 1951-  |e editor. 
700 1 |a Portmann, Edy,  |e editor. 
700 1 |a Stoffel, Kilian,  |e editor. 
700 1 |a Terán Tamayo, Luis Fernando,  |d 1979-  |e editor. 
776 0 8 |i Print version:  |t Application of Fuzzy logic for managerial decision making processes.  |d Cham, Switzerland : Springer, [2017]  |z 3319540475  |z 9783319540474  |w (OCoLC)969890697 
830 0 |a Fuzzy management methods. 
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992 |c NTK-SpringerBM 
999 |c 98051  |d 98051 
993 |x NEPOSILAT  |y EIZ 

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