Building a model of scientific expertise

Abstract

The aim is to develop research and methods of processing expertise and the method of selection of a competent team of experts using simulation. Expert methods are based solely on expert assessments made on the problem to study. This mechanism producing these estimates remain uncertain. Typically, it is unknown even to the expert, is entirely individual, personal character and can not be repeated or replicated by someone else. The basis using expert techniques are deep specialist knowledge and skills to summarize your experience and global research and development on a particular issue. The problem processing the results of the examination group - a set of tasks, each of which solution to some extent depends on the purpose of the examination conducted . However , there are some "eternal" issues that need to be solve in processing expert information. One of these issues - competency assessment expert. Scientific novelty of the proposed approach to determining quantitative assessments of competence of the expert and their expert use for processing data. Then, a simulation model was built with three divisions : Gauss , Laplace and linear . The work proved theoretically should look like logistic curve , which depends on the distance to the center of the cluster.

Authors and Affiliations

Т. Т. Сілакова,, К. І. Сілаков

Keywords

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  • EP ID EP542841
  • DOI -
  • Views 46
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How To Cite

Т. Т. Сілакова, , К. І. Сілаков (2015). Building a model of scientific expertise. Інформаційні системи, механіка та керування, 0(12), 18-25. https://europub.co.uk/articles/-A-542841