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Combining ANFIS and Digital Coaching for Good Decisions in Industrial Processes

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Fuzzy Techniques: Theory and Applications (IFSA/NAFIPS 2019 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1000))

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Abstract

The context we address is the digitalization of industry and industrial processes. Digitalization brings enhanced logistics network and value chain integration, which are effective instruments to meet increasing competition and slimmer margins for productivity and profitability. Digitalization also brings pronounced requirements for effective planning, problem solving and decision-making. Decision analytics, including soft computing, will meet the challenges from growing global competition that major industrial corporations face and will help solve the problems of big data/fast data that digitalization is generating as a by-product. A new mantra is gaining support - powerful, intelligent systems will be effective for the digitalization of industrial processes. The discussion has paid less attention to the fact that users need advanced knowledge and skills to benefit from the intelligent systems. We need both an effective transfer of knowledge from developers, experts and researchers to users and support for daily use and operations as automated, intelligent industrial systems are complex to operate. We call this knowledge mobilization, and work out how ANFIS models and digital coaching contribute to good decisions in large, complex industrial processes.

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Authors and Affiliations

  1. Institute for Advanced Management Systems Research, Abo Akademi University, Auriga Business Center, 20100, Turku, Finland

    Christer Carlsson

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  1. Christer Carlsson
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Correspondence to Christer Carlsson .

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Editors and Affiliations

  1. Department of Mathematics, University of Louisiana at Lafayette, Lafayette, LA, USA

    Ralph Baker Kearfott

  2. Center for Computing Research (CIC), Instituto Politecnico Nacional, Ciudad de Mexico, Mexico

    Ildar Batyrshin

  3. Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada

    Marek Reformat

  4. Department of Computer Science, University of Texas at El Paso, El Paso, TX, USA

    Martine Ceberio

  5. Department of Computer Science, University of Texas at El Paso , El Paso, TX, USA

    Vladik Kreinovich

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Carlsson, C. (2019). Combining ANFIS and Digital Coaching for Good Decisions in Industrial Processes. In: Kearfott, R., Batyrshin, I., Reformat, M., Ceberio, M., Kreinovich, V. (eds) Fuzzy Techniques: Theory and Applications. IFSA/NAFIPS 2019 2019. Advances in Intelligent Systems and Computing, vol 1000. Springer, Cham. https://doi.org/10.1007/978-3-030-21920-8_18

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