Application of the Methods of Complexation of Analogs and Fuzzy Logic for Prediction of Some Operation Metrics

Yuriy P. Zaychenko; Andrey V. Basarab

doi:10.1615/JAutomatInfScien.v44.i12.50

Journal of Automation and Information Sciences

Editor chefe: Arkadiy A. Chikriy (open in a new tab)

Editor associados: Vyacheslav F. Gubarev (open in a new tab) Yuriy P. Kondratenko (open in a new tab) Nonna V. Turovyerova (open in a new tab)

Publicou 12 edições por ano

ISSN Imprimir: 1064-2315

ISSN On-line: 2163-9337

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Application of the Methods of Complexation of Analogs and Fuzzy Logic for Prediction of Some Operation Metrics

Volume 44, Edição 12, 2012, pp. 37-42

DOI: 10.1615/JAutomatInfScien.v44.i12.50

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Yuriy P. Zaychenko
Institute of Applied Systems Analysis of National Technical University of Ukraine "Kiev Polytechnical Institute", Ukraine

Andrey V. Basarab
National Technical University of Ukraine "Kiev Polytechnical Institute", Ukraine

RESUMO

We suggest usage of the methods of complexation of analogs, the Mamdani controller for analysis and prediction of metrics for estimation of activity of staff of software maintenance department. We developed software, which realizes this technique as well as the method of exponential smoothing, which is used for comparison of productivity and quality of prediction. The conducted experiments showed high efficiency of the methods. Recommendations for methods usage for prediction of different samplings are adduced.

Palavras-chave: methods of complexation of analogs, Mamdani controllers, analysis and prediction of metrics, estimation of activity of staff, software maintenance department, software, method of exponential smoothing, comparison of productivity and quality

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