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Home / Journals / Scientific Research and Development. Economics / Volume 10 Issue 3 / Additive Convolution Method for Multi-Criteria Assessment of Management Deci-sions in the Economy
Additive Convolution Method for Multi-Criteria Assessment of Management Deci-sions in the Economy
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Citations:

ADDITIVE CONVOLUTION METHOD FOR MULTI-CRITERIA ASSESSMENT OF MANAGEMENT DECI-SIONS IN THE ECONOMY
Rubrics: MANAGEMENT
UDK 33 Экономика. Народное хозяйство. Экономические науки
Polyakov V. A. 1
Fomicheva I. 2
Yudina O. 3
Authors:
1.  Tula branch of Financial University under the Government of the Russian Federation (Department “Economy and Management”, head)

Russian Federation
2.  Financial University under the Government of the Russian Federation ( Associate Professor)

Russian Federation
3.  Leo Tolstoy Tula State Pedagogical University (Department of Economics and Management, Associate Professor)

Tula, Russian Federation
Type:
Article
DOI:
https://doi.org/10.12737/2587-9111-2022-10-3-61-64
Pages:
from 61 to 64
Status:
Published
Received:
17.06.2022
Accepted:
24.06.2022
Published:
24.06.2022
Subject area:
UDK 33 Экономика. Народное хозяйство. Экономические науки
Language:
Russian
Keywords:
investment project, additive criterion, convolution, rating scale
Abstract and keywords
Abstract (English):
The proposed method is based on an expert assessment of the weights of the compared criteria using additive convolution. The research material allows us to carry out a numerical assessment of various projects with sufficient reliability, to build a scale of their priority. The main criteria for evaluating an investment project are proposed. An example of choosing an innovative project using an additive criterion is considered. An example of constructing a normalized matrix of pairwise comparison of criteria is shown. Conclusions are drawn on the rating scale of projects based on the selected criteria.

Keywords:
investment project, additive criterion, convolution, rating scale
References

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3. Grishagin V.A. Analiz mnogokriterial'nyh zadach optimizacii metodom lineynoy svertki. Nizhniy Novgorod: Nizhegorodskiy gosuniversitet, 2021. 40 s.

4. Mikoni S.V. Teoriya i praktika racional'nogo vybora: Monografiya. M.: Marshrut, 2004. 463 s.

5. Nogin V.D. Lineynaya svertka kriteriev v mnogokriterial'noy optimizacii // Iskusstvennyy intellekt i prinyatie resheniy. 2014. № 4. S. 73–81

6. Nogin V.D. Prinyatie resheniy v mnogokriterial'noy srede: kolichestvennyy podhod. M.: FIZMATLIT, 2005. 176 s.

7. Petrovskiy A.B. Teoriya prinyatiya resheniy. M.: Izd. centr «Akademiya», 2009. 400 c.

8. Solov'ev V.I. Metody optimal'nyh resheniy. M.: Finansovyy universitet, 2012. 364 s.

9. Shtoyer R. Mnogokriterial'naya optimizaciya. M.: Radio i svyaz', 1992. 504 s.

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