| 000 | 02440nam a22003135i 4500 | ||
|---|---|---|---|
| 001 | 239209 | ||
| 003 | ES-VaUE | ||
| 005 | 20240306114308.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 211106s2021 sz | o |||| 0|eng d | ||
| 020 | _a9783030814960 | ||
| 024 | 7 |
_a10.1007/978-3-030-81496-0 _2doi |
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| 040 |
_aES-VaU _bspa _cES-VaU _dES-VaU |
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| 050 | 4 |
_aHF54.5-54.56 _b2021 EB |
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| 100 | 1 |
_aDikopoulou, Zoumpolia. _eautor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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| 245 | 0 | 0 |
_aModeling and Simulating Complex Business Perceptions : _bUsing Graphical Models and Fuzzy Cognitive Maps _cby Zoumpolia Dikopoulou |
| 250 | _a1st ed. 2021. | ||
| 264 | 1 |
_aCham _c2021 _bSpringer International Publishing |
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| 300 | _a1 recurso en línea | ||
| 336 |
_atexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 490 | 0 |
_aFuzzy Management Methods _x2196-4149 |
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| 505 | 0 | _aChapter 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. | |
| 520 | _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 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. | ||
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-81496-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Valencia) |
| 942 |
_2lcc _cLE |
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| 988 | _aSpringer_Business_2021 | ||
| 999 |
_c239209 _d239209 |
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