Project Quality Assessment Based on Fuzzy Nodeling
https://doi.org/10.38086/2522-9613-2019-2-5-12
Abstract
Methods for decision making as semi-structured goals which based on creation of linguistic model are considered in this article. Pattern of fuzzy model system is presented. Creation fuzzy model for project quality with substantive interpretation for input (projector experience, universality, projector error bar, project complexity, quality of basic data, engineering time) and output (project error) variables is reported in main body. Rule blokes are indicated to estimate output variable. The first rule bloke – projector rating- consists of 36 fuzzy rules that help taking into account quality of projector’s work. The second rule bloke consists of 81 fuzzy rules. Fuzzy model and surfaces of fuzzy inference are created in fuzzyTECH 5.54d. In the capacity of defuzzification method is used method of the best compromise. Obtained results point at capital saving due to inventory decrease on basis of analysis of project quality.
About the Authors
E. N. Zhivitskaya
Belarusian State University of Informatics and Radioelectronics
Belarus
Belarus
Vice-Rector for Academic Affairs
6 P. Brovka Str., 220013 Minsk, Republic of Belarus
T. A. Safronova
Belarusian State University of Informatics and Radioelectronics
Belarus
Belarus
Researcher
6 P. Brovka Str., 220013 Minsk, Republic of Belarus
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Review
For citations:
Zhivitskaya E.N., Safronova T.A. Project Quality Assessment Based on Fuzzy Nodeling. Digital Transformation. 2019;(2):5-12. (In Russ.) https://doi.org/10.38086/2522-9613-2019-2-5-12
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