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System Modelling and Decision Making System Based on Fuzzy Expert System

Author

Listed:
  • Radim Farana

    (Mendel University in Brno, Czech Republic)

  • Ivo Formánek

    (College of Entrepreneurship and Law, Ostrava, Czech Republic)

  • Cyril Klimeš

    (Mendel University in Brno, Czech Republic)

  • Bogdan Walek

    (University of Ostrava, Czech Republic)

Abstract

They are available many modeling and decision making systems. Some of them are based on statistical methods like time series analysis. The general problem of these systems is that they cannot correctly react to the changes of modeled systems and their environment. This paper presents an approach based on the fuzzy expert system application, which is able to represent the expert knowledge about the modeled system behavior. This approach combines the statistical methods with expert knowledge and is able to give appropriate information about the system behavior and help with the decision making process. The presented paper describes general principles of this system and its application for waste production modeling as a part of the decision making of the company for waste treatment. This company is able to optimize its resources and warehouse stock management to minimize the production costs.

Suggested Citation

  • Radim Farana & Ivo Formánek & Cyril Klimeš & Bogdan Walek, 2017. "System Modelling and Decision Making System Based on Fuzzy Expert System," European Journal of Business Science and Technology, Mendel University in Brno, Faculty of Business and Economics, vol. 3(2), pages 118-122.
    • Handle: RePEc:men:journl:v:3:y:2017:i:2:p:118-122
    DOI: 10.11118/ejobsat.v3i2.103
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    References listed on IDEAS

    as
    1. Baker, Peter & Canessa, Marco, 2009. "Warehouse design: A structured approach," European Journal of Operational Research, Elsevier, vol. 193(2), pages 425-436, March.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    modeling; decision making; time series; expert system; fuzzy logic; analysis; optimization; prediction;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling

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