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International Scientific and Practical Conference​ in Control Engineering and Decision Making

ICIT 2020: Recent Research in Control Engineering and Decision Making pp 76–90Cite as

A Transformation-Based Approach for Fuzzy Knowledge Bases Engineering

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Part of the Studies in Systems, Decision and Control book series (SSDC,volume 337)

Abstract

Fuzzy knowledge base engineering remains an important area of scientific research. The efficiency of this process can be improved due to the automated analysis of existing domain models in the form of conceptual diagrams of different types. In this paper we propose an approach for generating knowledge bases by transforming conceptual models with fuzzy factors. Resulted knowledge bases contain fuzzy rules. The proposed approach includes: a method for the automated analysis and transformation of conceptual models serialized in the XML-like formats; an extended domain-specific declarative language for describing transformation models, namely Transformation Model Representation Language (TMRL); a software module for Knowledge Base Development System (KBDS) that implements the proposed method. Our approach was used for prototyping a knowledge base for predicting degradation processes of technical systems in the petrochemical industry, in this case we developed the software module for transformation of Ishikawa diagrams that account fuzzy and uncertainty factors.

Keywords

  • Model-driven engineering
  • Model transformation
  • Metamodel
  • Code generation
  • Fuzzy conceptual model
  • Fuzzy knowledge base
  • Fuzzy rules
  • TMRL
  • Ishikawa diagrams

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  • DOI: 10.1007/978-3-030-65283-8_7
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Authors and Affiliations

  1. Matrosov Institute for System Dynamics and Control Theory, Siberian Branch of the Russian Academy of Sciences, 134, Lermontov St., Irkutsk, 664033, Russia

    Nikita Dorodnykh, Olga Nikolaychuk & Aleksandr Yurin

Authors
  1. Nikita Dorodnykh
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  2. Olga Nikolaychuk
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  3. Aleksandr Yurin
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Corresponding author

Correspondence to Aleksandr Yurin .

Editor information

Editors and Affiliations

  1. Yury Gagarin State Technical University of Saratov, Saratov, Russia

    Prof. Olga Dolinina

  2. ITMO University, Saint Petersburg, Russia

    Prof. Igor Bessmertny

  3. Yury Gagarin State Technical University of Saratov, Saratov, Russia

    Prof. Dr. Alexander Brovko

  4. University of Texas at El Paso, El Paso, USA

    Prof. Vladik Kreinovich

  5. Yury Gagarin State Technical University of Saratov, Saratov, Russia

    Prof. Dr. Vitaly Pechenkin

  6. Yury Gagarin State Technical University of Saratov, Saratov, Russia

    Prof. Dr. Alexey Lvov

  7. Novosibirsk State Technical University, Novosibirsk, Russia

    Prof. Vadim Zhmud

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Dorodnykh, N., Nikolaychuk, O., Yurin, A. (2021). A Transformation-Based Approach for Fuzzy Knowledge Bases Engineering. In: , et al. Recent Research in Control Engineering and Decision Making. ICIT 2020. Studies in Systems, Decision and Control, vol 337. Springer, Cham. https://doi.org/10.1007/978-3-030-65283-8_7

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