Modeling and simulating complex business perceptions: using graphical models and fuzzy cognitive maps

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 comb...

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Bibliographic Details
Main Author: Dikopoulou, Zoumpolia (Author)
Format: Electronic eBook
Language:English
Published: Cham, Switzerland Springer [2021]
Series:Fuzzy management methods
Subjects:
Online Access:FHD01
Summary: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
Physical Description:1 Online-Ressource (xxv, 154 Seiten)
ISBN:9783030814960

There is no print copy available.

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