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The use of fuzzy logic in evaluating the results of testing personnel

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Authors


Doctor of Technical Sciences, Professor of the Department of Informatics
Russia, Rostov State Economic University, Taganrog Institute
[email protected]


Ph.D., Associate Professor of Information, Systems and Technology
Russia, Russian New University (Taganrog Branch)
[email protected]

Abstract

Purpose of the article is to develop a methodology for assessing the results of the use of the complex variety of tests to obtain an integrated assessment of the competence of applicants. The basis of the technique is the method of fuzzy logic and plausible reasoning. These methods make it possible to standardize the testing process for the implementation of the methodology in the framework of an expert system adaptive testing.

Keywords

the integral indicator of personnel selection, classification contenders, classification attributes, operations of convolution of criteria, levels of competence, fuzzy quantifier.

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Astanin Sergej Vasil'evich , Zhukovskaja Natal'ja Konstantinovna
The use of fuzzy logic in evaluating the results of testing personnel// Modern Management Technology. ISSN 2226-9339. – #6 (54). Art. # 5401. Date issued: . Available at: https://sovman.ru/en/article/5401/

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References

  1. Vapnik V.N., Chervonenkis A.Ja. The theory of pattern recognition [Teorija raspoznavanija obrazov]. Moscow. Nauka, 1974. 415p.
  2. Keeney R.L. and Raiffa H. Decisions with Multiple Objectives//Preferences and Value Tradeoffs. New York. Wiley, 1976. 569p.
  3. Djubua D., Prad A. The theory of possibilities. Applications to knowledge representation in computer science [Teorija vozmozhnostej. Prilozhenija k predstavleniju znanij v informatike]. Moscow. Radio and communication, 1990. 288p.
  4. Krauder N.A. On the difference between linear and intrinsic programing [O razlichijah mezhdu linejnym i razvetvlennym programmirovaniem]. In the collection. Programmed learning abroad. Moscow. Higher school, 1968. pp. 58-67.
  5. Astanin S.V. Plausible reasoning in the decision-making systems [Pravdopodobnye rassuzhdenija v sistemah prinjatija reshenij]. Taganrog. TRTU, 2000. 90p.
  6. Astanin S.V., Gricanov A.A., Zhukovskaja N.K. Automated Testing System based on fuzzy logic [Avtomatizirovannaja sistema ocenki znanij na osnove nechetkoj logiki]. Telecommunications and Information Education, 2002. №4. pp.57-67.
  7. Smets F. Simple semantic operators [Prostejshie semanticheskie operatory]. In the book. Fuzzy sets and possibility theory Ed. R. Yager. Moscow. Radio and Communications, 1986. 408p.