Proceedings of the VIth International Workshop 'Critical Infrastructures: Contingency Management, Intelligent, Agent-Based, Cloud Computing and Cyber Security' (IWCI 2019)

A Method of Experts’ Knowledge Approval for Industrial Safety Expertise Task

Authors
Alexander Berman, Olga Nikolaychuk, Galina Maltigueva, Alexander Yurin
Corresponding Author
Alexander Berman
Available Online September 2019.
DOI
https://doi.org/10.2991/iwci-19.2019.18How to use a DOI?
Keywords
ontology; problem ontology; task ontology; multidisciplinary approach; group decision-making methods; industrial safety expertise
Abstract
The paper discusses a conception of a method of experts ' knowledge (opinions) approval for multidisciplinary tasks of industrial safety expertise of critical petrochemical objects. The proposed method is based on ontological models of a problem domain, as well as group decision-making methods. The main results of method are a model of a multidisciplinary task and its solution which are agreed by experts of various subject areas. The task model describes the concepts, laws of a subject area and solving methods. It is proposed to use the ARAMIS (Aggregation and Ranking Alternatives nearby the Multi-Attribute Ideal Situation) method to agreed experts’ opinions. Also the paper presents examples of a model description for an identification task of technical states, and approval of experts’ opinions at formalization of knowledge for a rule-based expert system intended for this task.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Alexander Berman
AU  - Olga Nikolaychuk
AU  - Galina Maltigueva
AU  - Alexander Yurin
PY  - 2019/09
DA  - 2019/09
TI  - A Method of Experts’ Knowledge Approval for Industrial Safety Expertise Task
BT  - VIth International Workshop 'Critical Infrastructures: Contingency Management, Intelligent, Agent-Based, Cloud Computing and Cyber Security' (IWCI 2019)
PB  - Atlantis Press
SP  - 102
EP  - 107
SN  - 1951-6851
UR  - https://doi.org/10.2991/iwci-19.2019.18
DO  - https://doi.org/10.2991/iwci-19.2019.18
ID  - Berman2019/09
ER  -