Abstract
Computing huge amounts of information and performing complex operations in a unique fuzzy logic system is a challenge in the field of fuzzy logic. This paper presents a Knowledge engineering application whereby a Fuzzy Network (FN) is used to build a complex computing model to reproduce corporate dynamics and to implement a Model Reference Adaptive Control (MARC) strategy for Corporate Control [2]. 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. Additionally, as proof of concept a prototype which capable of designing and simulating networks of fuzzy systems is presented based on the standard IEC 61131-7.
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Velandia, J., Pérez, G., Bolivar, H. (2018). Fuzzy Networks Model, a Reliable Adoption in Corporations. In: Perner, P. (eds) Machine Learning and Data Mining in Pattern Recognition. MLDM 2018. Lecture Notes in Computer Science(), vol 10935. Springer, Cham. https://doi.org/10.1007/978-3-319-96133-0_3
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