Editors:
- Analyses uncertain environments, complex networks, and optimization problems in the digital era
- Requires instruments compatible with the uncertain environment of economics
- Aims to contribute to the discussion about the implications of fuzzy logic
Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 384)
Conference series link(s): XX SIGEF: XX SIGEF Congress - Harnessing Complexity through Fuzzy Logic
Conference proceedings info: XX SIGEF 2021.
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Table of contents (13 papers)
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Front Matter
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Management and Accounting
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Front Matter
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Technology and Business Innovation
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Front Matter
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Back Matter
About this book
In the face of information technology, digitization, and uncertainty, organizations confront new opportunities and challenges. In order to take advantage of these opportunities and overcome current and future challenges, it is needed to understand the evolution of these phenomenon.
Editors and Affiliations
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Nuevo Leon State University, San Nicolás de los Garza, Mexico
Martha del Pilar Rodríguez García, Klender Aimer Cortez Alejandro
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School of Information, Systems and Modelling, University of Technology, Sydney, Australia
José M. Merigó
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Department of Business Management, Universitat Rovira i Virgili, Reus, Spain
Antonio Terceño-Gómez, Maria Teresa Sorrosal Forradellas
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Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland
Janusz Kacprzyk
Bibliographic Information
Book Title: Digital Era and Fuzzy Applications in Management and Economy
Editors: Martha del Pilar Rodríguez García, Klender Aimer Cortez Alejandro, José M. Merigó, Antonio Terceño-Gómez, Maria Teresa Sorrosal Forradellas, Janusz Kacprzyk
Series Title: Lecture Notes in Networks and Systems
DOI: https://doi.org/10.1007/978-3-030-94485-8
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Softcover ISBN: 978-3-030-94484-1Published: 01 April 2022
eBook ISBN: 978-3-030-94485-8Published: 31 March 2022
Series ISSN: 2367-3370
Series E-ISSN: 2367-3389
Edition Number: 1
Number of Pages: X, 195
Number of Illustrations: 49 b/w illustrations, 41 illustrations in colour
Topics: Computational Intelligence, Data Engineering, Economic Theory/Quantitative Economics/Mathematical Methods, Operations Research, Management Science, Game Theory, Economics, Social and Behav. Sciences, Engineering Economics, Organization, Logistics, Marketing