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Corporate Control with a Fuzzy Network

A Knowledge Engineering Application

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Fuzzy Information Processing (NAFIPS 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 831))

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Abstract

This paper presents a Knowledge engineering application whereby a Fuzzy Network (FN) is used to build a computing model to reproduce corporate dynamics and to implement a Model Reference Adaptive Control (MRAC) strategy [2] for Corporate Control. This model is used as a What If? Environment to explore future consequences of actions planned within a strategic scenario context in terms of KPIs displayed in a Balanced ScoreCard (BSC) control board. Corporation’s Strategy Map is required to plan the Knowledge Identification and Capture Activity (KICA) required to obtain the knowledge to be represented in the FN’s Nodes Rule Bases. KICA produces linguistic variables as well as the qualitative relationships amongst them. A FN appears as a natural solution to model the knowledge distributed within the members participating in all analysis and decision making tasks along the organization. As an example an application done for a Utility Corporation is included.

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References

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Correspondence to Gustavo Pérez Hoyos .

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Pérez Hoyos, G. (2018). Corporate Control with a Fuzzy Network. In: Barreto, G., Coelho, R. (eds) Fuzzy Information Processing. NAFIPS 2018. Communications in Computer and Information Science, vol 831. Springer, Cham. https://doi.org/10.1007/978-3-319-95312-0_52

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  • DOI: https://doi.org/10.1007/978-3-319-95312-0_52

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-95311-3

  • Online ISBN: 978-3-319-95312-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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