Prediction of Competitive Position of Brand Product by Fuzzy Knowledge Base

Sergey D. Shtovba; E. V. Shtovba

doi:10.1615/J Automat Inf Scien.v38.i8.70

Journal of Automation and Information Sciences

Главный редактор: Arkadiy A. Chikriy (open in a new tab)

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

Выходит 12 номеров в год

ISSN Печать: 1064-2315

ISSN Онлайн: 2163-9337

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Prediction of Competitive Position of Brand Product by Fuzzy Knowledge Base

Том 38, Выпуск 8, 2006, pp. 69-80

DOI: 10.1615/J Automat Inf Scien.v38.i8.70

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Sergey D. Shtovba
Vinnitsa National Technical University, Ukraine

E. V. Shtovba
Vinnitsa National Technical University, Ukraine

Краткое описание

We suggested a model of competitiveness of brand product, which takes into account 10 factors. The model is based on 52 fuzzy rules of type. Potential of application of the model for control of competitiveness of brand product is shown. We state a problem of learning of fuzzy model of competitiveness on the basis of experimental data.

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Tsidylo Ivan M., Semerikov Serhiy O., Gargula Tetiana I., Solonetska Hanna V., Zamora Yaroslav P., Pikilnyak Andrey V. , Simulation of intellectual system for evaluation of multilevel test tasks on the basis of fuzzy logic, 2021. Crossref

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