Risk significance assessment on the basis of a fuzzy model

Inna Nurutdinova,Luibov Dimitrova,D Rudoy,A Olshevskaya,N Ugrekhelidze

doi:10.1051/e3sconf/202127308037

Abstract

The paper considers the problem of risk significance assessment in the activity of a testing laboratory. The accreditation criteria of such laboratories include requirements for implementation of risk management in the organization of their activity. To optimize the risk management process, it is proposed to create an expert system based on fuzzy modelling of the derivation of the risk significance assessment. The expediency of this approach is justified by the expert nature of information on the parameters of risks, subjectivity and uncertainty in their assessments. A description of the subject area “Risk significance assessment” is given, groups of input features and an output parameter are established, the corresponding linguistic variables are introduced, basic and extended term-sets are defined, membership functions are constructed. A fuzzy expert knowledge base has been created, the fuzzy inference of assessing the significance of risks is based on. The proposed algorithm for assessing the significance of risk was tested, confirming its suitability and effectiveness for creating an expert system.

Highlights

In modern conditions, the role of risk management is increasing, in particular, in the activity of testing laboratories
The accredited testing laboratories that meet international requirements can count on internationally recognized test reports [1]
The choice of the accredited testing laboratory is relevant for enterprises targeted both for the domestic market and the external one

Summary

Introduction

The role of risk management is increasing, in particular, in the activity of testing laboratories. The accredited testing laboratories that meet international requirements can count on internationally recognized test reports [1]. The choice of the accredited testing laboratory is relevant for enterprises targeted both for the domestic market and the external one. The availability of accreditation with the laboratory promote confidence for the test reports, and increases its competitiveness. For compliance with the requirements of ILAC (International Laboratory Accreditation Cooperation), Rosaccreditation introduced new criteria for national accreditation, as close as possible to the international ones [2]. In 2019, a requirement for the laboratory to have a risk management system in the field of laboratory activities was introduced into these criteria [3]

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Conclusion