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Titlebook: Modeling and Simulating Complex Business Perceptions; Using Graphical Mode Zoumpolia Dikopoulou Book 2021 The Editor(s) (if applicable) and

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发表于 2025-3-21 16:34:05 | 显示全部楼层 |阅读模式
书目名称Modeling and Simulating Complex Business Perceptions
副标题Using Graphical Mode
编辑Zoumpolia Dikopoulou
视频video
概述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
丛书名称Fuzzy Management Methods
图书封面Titlebook: Modeling and Simulating Complex Business Perceptions; Using Graphical Mode Zoumpolia Dikopoulou Book 2021 The Editor(s) (if applicable) and
描述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..
出版日期Book 2021
关键词Data-driven modelling; Data-driven simulation; GlassoFCM argorithm; Decision-making; Job-satisfaction; Fu
版次1
doihttps://doi.org/10.1007/978-3-030-81496-0
isbn_softcover978-3-030-81498-4
isbn_ebook978-3-030-81496-0Series ISSN 2196-4130 Series E-ISSN 2196-4149
issn_series 2196-4130
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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2196-4130 uzzy cognitive maps R package for decision-making.Develops aFuzzy 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
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Book 2021roblems.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 outlin
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Book 2021presented 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..
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978-3-030-81498-4The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Zoumpolia DikopoulouProvides 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
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