Overview
- Provides a theoretical background for fuzzy cognitive maps and graphical lasso approaches
- Includes stepwise instructions on how to use the fuzzy cognitive maps R package for decision-making
- Develops a novel approach to explain and evaluate job-satisfaction models
Part of the book series: Fuzzy Management Methods (FMM)
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Table of contents (7 chapters)
Keywords
About this book
Finally, this book provides readers with a step-by-step guide of the 'fcm' package to execute and visualize their policies and decisions through the FCM simulation process.
Authors and Affiliations
About the author
Dr. Zoumpolia Dikopoulou received the MSc degree in Computer Science from Ionian University, Corfu, Greece and was awarded with the academic degree of Doctor of Sciences: Computer Science from Hasselt University, Belgium. She is the author and co-author of scientific published papers, books and book chapters. In addition, she is a developer of the ‘fcm’ package in the R programming language. She has research experience working at various national and European projects and she currently works as a Senior data analyst at the AiDEAS company, Talin, Esthonia under the H2020 EU project. Finally, her research interests are focused on probabilistic graphical models, machine learning, graph theory, fuzzy cognitive maps, decision support systems and aggregation methods.
Bibliographic Information
Book Title: Modeling and Simulating Complex Business Perceptions
Book Subtitle: Using Graphical Models and Fuzzy Cognitive Maps
Authors: Zoumpolia Dikopoulou
Series Title: Fuzzy Management Methods
DOI: https://doi.org/10.1007/978-3-030-81496-0
Publisher: Springer Cham
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-81495-3Published: 07 November 2021
Softcover ISBN: 978-3-030-81498-4Published: 07 November 2022
eBook ISBN: 978-3-030-81496-0Published: 06 November 2021
Series ISSN: 2196-4130
Series E-ISSN: 2196-4149
Edition Number: 1
Number of Pages: XXV, 154
Number of Illustrations: 1 b/w illustrations, 44 illustrations in colour
Topics: IT in Business, Probability and Statistics in Computer Science, Data Mining and Knowledge Discovery, Mathematical Models of Cognitive Processes and Neural Networks