Complex Systems: Solutions and Challenges in Economics, Management and Engineering
Dedicated to Professor Jaime Gil Aluja
Published on 25. August 2018
Book
Paperback/Softback
XXVI, 543 pages
978-3-319-88875-0 (ISBN)
Description
This book presents an authoritative collection of contributions reporting on fuzzy logic and decision theory, together with applications and case studies in economics and management science. Dedicated to Professor Jaume Gil Aluja in recognition of his pioneering work, the book reports on theories, methods and new challenges, thus offering not only a timely reference guide but also a source of new ideas and inspirations for graduate students and researchers alike.
More details
Series
Edition
Softcover reprint of the original 1st ed. 2018
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
66 s/w Abbildungen, 80 farbige Abbildungen
XXVI, 543 p. 146 illus., 80 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 31 mm
Weight
855 gr
ISBN-13
978-3-319-88875-0 (9783319888750)
DOI
10.1007/978-3-319-69989-9
Schweitzer Classification
Other editions
Additional editions
Christian Berger-Vachon | Anna María Gil Lafuente | Janusz Kacprzyk
Complex Systems: Solutions and Challenges in Economics, Management and Engineering
Dedicated to Professor Jaime Gil Aluja
Book
11/2017
Springer
€213.99
Shipment within 10-15 days
Content
Does Policy Consistency Affect Economic Growth?.- Perception and Reality of the Spanish Economy.- The Virtual Company as a Value Generator in the New Economy.- The Origin of the Legitimacy of Organizations and Their Determining Factors.- Six experimental activities to introduce the theory of fuzzy sets.- Fuzzy Decision Making System for Model-Oriented Academia/Industry Cooperation: University Preferences.- Towards the Convergence in Fuzzy Cognitive Maps Based Decision-making Models.- Eliciting Fuzzy Preferences Towards Health States with Discrete Choice Experiments.- The Soft Consensus Model in the Multidistance Framework.