Open AccessMethods of coordinating fuzzy expert evaluations in the design of metrological support means
Author(s) -
Aleksandr Mikhaylovich Batkovskiy,
Vladimir Anatolievich Sudakov,
А. В. Фомина,
В. М. Балашов
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1889/3/032050
Subject(s) - pairwise comparison , defuzzification , fuzzy logic , fuzzy classification , data mining , fuzzy number , ranking (information retrieval) , mathematics , fuzzy set operations , computer science , artificial intelligence , machine learning , fuzzy set
The article explores methods of coordinating expert judgments in the design of technical measuring instruments. A methodology for analyzing fuzzy matrices of pairwise comparisons of the effectiveness of preliminary designs of metrological support means is proposed. It includes defuzzification of pairwise comparison matrices; finding a median pairwise comparison matrix; determining fuzzy mean values for each element, and forming fuzzy weights for the compared means by individual levels of the membership function values. The procedure for finding the final membership function of metrological support tools is formalized to minimize the deviations of the fuzzy paired comparison matrices of expert opinions from the final matrix of these comparisons. Methods for optimizing the final ranking of alternative projects based on fuzzy group evaluations were investigated and developed. A fuzzy modification of the Condorcet principle is developed for the case of fuzzy dominance of alternatives. These methods of expert evaluations serve the purpose of increasing the efficiency of development and creation of metrological support means.