Abstract

Modern methods of selecting specialists are based on using a whole range of testing tools for candidates. However,
 there are cases when applying the entire complex of means is not appropriate. For instance, such a situation may occur
 during a candidate’s career growth, when his or her psychological and professional characteristics are generally known
 and only specific clarifications are required to make a decision on a new position. In this case, a set of tests can be formed
 taking into account the analysis of the candidate’s previous activities.
 Definitely, such a set of tests also implies a certain sequence of their application in the course of analysing the
 candidates’ potential properties. In this case, the criterion basis for choosing the sequence of applying the tests will be the
 test analysis time (number of steps) and the cost of testing the candidate’s degree of professional compliance. The
 significant non-statistical uncertainty of the candidates’ outcomes of test checks (answers) is also necessary to take into
 account.
 The proposed article considers the problem of a priori planning of the procedure for using test tools for diagnosing the
 candidates’ degree of professional compliance based on a preliminary fuzzy assessment of their professional and personal
 characteristics. Solving the problem is reduced to a sequential (step by step) analysis of fuzzy preference relations of the
 candidates’ degree of professional compliance. At the same time, the composition of diagnostic tools is selected taking into
 account their reliability, followed by determining the most non-dominated alternatives for decisions. The decision-making
 is based on a fuzzy information-cost criterion. Applying this approach allows proposing a methodology for planning
 activities for assessing the candidates’ compliance degree with different levels of competence.

Full Text
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