Modeling and Simulating Complex Business Perceptions

Using Graphical Models and Fuzzy Cognitive Maps

Zoumpolia Dikopoulou (Autor)

Buch | Softcover

XXV, 154 Seiten

2022 | 1st ed. 2021
Springer International Publishing (Verlag)
978-3-030-81498-4 (ISBN)

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Fuzzy cognitive maps (FCMs) have gained popularity in the scientific community due to their capabilities in modeling and decision making for complex problems.This book presents a novel algorithm called glassoFCM to enable automatic learning of FCM models from data. Specifically, glassoFCM is a combination of two methods, glasso (a technique originated from machine learning) for data modeling and FCM simulation for decision making. The book outlines that glassoFCM elaborates simple, accurate, and more stable models that are easy to interpret and offer meaningful decisions. The research results presented are based on an investigation related to a real-world business intelligence problem to evaluate characteristics that influence employee work readiness.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.

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.

Chapter 1. Introduction.- Chapter 2. Data Analysis.- Chapter 3. Fuzzy Cognitive Maps.- Chapter 4. Data Modeling.- Chapter 5. Network analysis, accuracy and stability of the job-satisfaction structures.- Chapter 6. The proposed data-driven glassoFCM method.- Chapter 7. Thesis Conclusions.

Erscheinungsdatum	09.11.2022
Reihe/Serie	Fuzzy Management Methods
Zusatzinfo	XXV, 154 p. 45 illus., 44 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	284 g
Themenwelt	Informatik ► Datenbanken ► Data Warehouse / Data Mining
	Mathematik / Informatik ► Informatik ► Theorie / Studium
	Mathematik / Informatik ► Mathematik ► Angewandte Mathematik
	Mathematik / Informatik ► Mathematik ► Finanz- / Wirtschaftsmathematik
	Wirtschaft ► Allgemeines / Lexika
Schlagworte	Data-driven Modelling • data-driven simulation • Decision-Making • Fuzzy cognitive maps • GlassoFCM argorithm • Job-satisfaction • Network anylysis
ISBN-10	3-030-81498-X / 303081498X
ISBN-13	978-3-030-81498-4 / 9783030814984
Zustand	Neuware