Support of Decision-Making Based on a Production Approach in the Performance of an Industrial Safety Review

Berman, Alexander; Nikolaichuk, Olha; Yurin, Aleksandr Yu.; Кузнецов, К. А.

doi:10.1007/s10556-015-9970-x

Cited by 18 publications

(8 citation statements)

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“…In addition to this model, information from the database on the failure of petrochemical equipment (Berman & Khramova, 1993) as well as the results of industrial safety expertise (Berman, Nikolaichuk, Yu, & Kuznetsov, 2015) were used. As a result, a subject domain model was obtained, which was further considered as a CIM of a KB.…”

Section: Case Study and The Results Of Evaluationmentioning

confidence: 99%

Designing rule‐based expert systems with the aid of the model‐driven development approach

et al. 2018

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The problem of improving the efficiency of designing process of knowledge bases and expert systems remains a relevant issue. The effectiveness of this process can be improved by using the principles of conceptual (cognitive) modelling and generative programming‐based approaches, in particular, a model‐driven development. This paper describes implementation and application of the model‐driven development approach for the design of rule‐based expert systems and knowledge bases. The implementation proposed takes into account peculiarities of the intelligent systems development process, such as stages of conceptualization and formalization, and provides the practical use of ontologies and conceptual models as computation‐independent and subject domain models. An extension of UML, namely, the Rule Visual Modelling Language is used to represent logical rules and create platform‐independent and platform‐specific models. Rule Visual Modelling Language elements ensure that some features of a programming language for knowledge bases, for example, CLIPS, are taken into account. Therefore, CLIPS and the Personal Knowledge Base Designer are used as the targeted platforms for generation of source codes and specifications. The applicability of the approach is demonstrated by a case study: development of the knowledge base and expert system for identification of the causes of damages and destruction of construction materials in petrochemistry.

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Section: Case Study and The Results Of Evaluationmentioning

confidence: 99%

Designing rule‐based expert systems with the aid of the model‐driven development approach

et al. 2018

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“…• Built-in editor of models • Integration with IBM Rational Rose (in terms of imports of UML-models) • Generation of CLIPS and DRL code and specifications for the interpreter • Usage of models at runtime The approach and software proposed were used for the development of the ES for defining the causes of damage and destruction of construction materials (Berman et al, 2015) and they were also used in the educational process at the Irkutsk National Research Technical University (IrNRTU).…”

Section: Resultsmentioning

confidence: 99%

Prototyping Rule-Based Expert Systems with the Aid of Model Transformations

Yurin¹,

Dorodnykh²,

Nikolaychuk³

et al. 2018

Journal of Computer Science

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The problem of improving efficiency of intelligence systems engineering remains a relevant topic of scientific research. One of the trends in this area is the use of the principles of cognitive (visual) modelling and design as well as approaches based on generative programming and model transformations. This paper aims to describe the implementation and application of model transformations for prototyping rule-based knowledge bases and expert systems. The implementation proposed uses the main principles of the Model Driven Architecture (MDA) (e.g., model types and creation stages) and considers the features of developing intelligent systems. Therefore, the current research employs the following tools: Ontologies for the representation of the computation-independent model; the author's original notation, namely, the Rule Visual Modelling Language (RVML) to create the platform-independent and platform-specific models; the C Language Integrated Production System (CLIPS) and the Drools Rule Language (DRL) as the programming languages (as the platforms). The approach proposed targets non-programmers (domain experts and analytics) and makes the design process of rule-based expert systems and knowledge bases more efficient. The paper also presents a detailed description of the main elements of the approach including models, transformations and a specialised software (Personal Knowledge Base Designer).

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“…To solve this problem, experiments will be conducted and heuristics will be formulated. Our approach has a certain level of universality and after its improvement can be used to form knowledge bases that codify scenarios for the development of events in various domains, for example, the sequence of work during the industrial safety inspection [29].…”

Section: Discussionmentioning

confidence: 99%

End-user development of knowledge bases for semi-automated formation of task cards

Dorodnykh¹,

Kotlov²,

Nikolaychuk³

et al. 2021

3rd International Workshop on Information, Computation, and Control Systems for Distributed Environments 2021

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The complexity of creating artificial intelligence applications remains high. One of the factors that cause such complexity is the high qualification requirements for developers in the field of programming. Development complexity can be reduced by using methods and tools based on a paradigm known as End-user development. One of the problems that requires the application of the methods of this paradigm is the development of intelligent systems for supporting the search and troubleshooting onboard aircraft. Some tasks connected with this problem are identified, including the task of dynamic formation of task cards for troubleshooting in terms of forming a list of operations. This paper presents a solution to this problem based on some principles of End-user development: model-driven development, visual programming, and wizard form-filling. In particular, an extension of the Prototyping expert systems based on transformations technology, which implements the End-user development, is proposed in the context of the problem to be solved for Sukhoi Superjet aircraft. The main contribution of the work is as follows: expanded the main technology method by supporting event trees formalism (as a popular expert method for formalizing scenarios for the development of problem situations and their localization); created a domain-specific tool (namely, Extended event tree editor) for building standard and extended event trees, including for diagnostic tasks; developed a module for supporting transformations of XML-like event tree representation format for the knowledge base prototyping system – Personal knowledge base designer. A description of the proposed extension and the means of its implementation, as well as an illustrative example, are provided.

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Support of Decision-Making Based on a Production Approach in the Performance of an Industrial Safety Review

Cited by 18 publications

References 0 publications

Designing rule‐based expert systems with the aid of the model‐driven development approach

Designing rule‐based expert systems with the aid of the model‐driven development approach

Prototyping Rule-Based Expert Systems with the Aid of Model Transformations

End-user development of knowledge bases for semi-automated formation of task cards

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