| 書目名稱 | Modeling and Simulating Complex Business Perceptions |
| 副標(biāo)題 | Using Graphical Mode |
| 編輯 | Zoumpolia Dikopoulou |
| 視頻video | http://file.papertrans.cn/637/636158/636158.mp4 |
| 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 |
| 叢書名稱 | Fuzzy Management Methods |
| 圖書封面 |  |
| 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 |
| 關(guān)鍵詞 | Data-driven modelling; Data-driven simulation; GlassoFCM argorithm; Decision-making; Job-satisfaction; Fu |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-81496-0 |
| isbn_softcover | 978-3-030-81498-4 |
| isbn_ebook | 978-3-030-81496-0Series ISSN 2196-4130 Series E-ISSN 2196-4149 |
| issn_series | 2196-4130 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
|Archiver|手機(jī)版|小黑屋|
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