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Erschienen in:
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2016 | OriginalPaper | Buchkapitel

Modeling and Forecasting of Well-Being Using Fuzzy Cognitive Maps

verfasst von : Tatiana Penkova, Wojciech Froelich

Erschienen in: Intelligent Decision Technologies 2016

Verlag: Springer International Publishing

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Abstract

In this paper we address the problem of modeling and forecasting of well-being. First, we apply a graph-based model of a Fuzzy cognitive map to discover cause-and-effect relationships among indicators of well-being. Second, the discovered model is applied to forecast the future state of well-being. The model is constructed using historical multivariate time series containing six consolidated indexes that represent well-being on the considered territory. Experiments with real-world data provided evidence for the usefulness of the proposed approach. Moreover, the interpretation of the obtained FCM graph led to the discovery of unknown dependencies within the data. The analysis of the unknown dependencies requires further research.

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Vorheriges Kapitel Review Paper: Paraconsistent Process Order Control
Nächstes Kapitel Embedded Dynamic Fuzzy Cognitive Maps for Controller in Industrial Mixer
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Metadaten
Titel
Modeling and Forecasting of Well-Being Using Fuzzy Cognitive Maps
verfasst von
Tatiana Penkova
Wojciech Froelich
Copyright-Jahr
2016
Buch
Intelligent Decision Technologies 2016

Print ISBN: 978-3-319-39626-2

Electronic ISBN: 978-3-319-39627-9

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-3-319-39627-9_21