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Evaluation of the project based on the theory of fuzzy sets and the concept of fuzzy logic. Method and methodology

https://doi.org/10.32362/2500-316X-2025-13-5-119-132

EDN: TQKWPM

Abstract

Objectives. The work sets out to develop a method and methodology for evaluating project activities, including research and development work. The development of this method and its associated methodology is relevant due to the need to provide an analytical assessment of a project based on its main performance indicators, such as the uniqueness of the results and the resources required to produce them. This assessment must take into account both the requirements of the customer and the capabilities of the prospective performers to make an informed decision on its formulation. Currently, the best-known methods for evaluating a planned project are based on economic efficiency. However, the approaches taken by customers and contractors are often different and sometimes contradictory. For example, a customer may minimize the risk of failing to achieve the project goal by setting appropriate requirements and resource costs, while a contractor minimizes the same risks by increasing the requested time and material resources, as well as by adjusting the requirement criteria for the project results, which are based on their ability to fulfill them. The concept of fuzzy sets allows various assessment approaches to be combined to provide informed and coordinated decision-making regarding the feasibility and expediency of setting up and executing a project.
Methods. The developed method and methodology for project evaluation are based on the theory of fuzzy sets and the concept of fuzzy logic, using membership functions to model project parameter estimates.
Results. The project assessment method and implementation methodology were developed, taking into account customer requirements and the capabilities of the potential contractor, to enable rational decision-making regarding its formulation.
Conclusions. The method may be applied to establish the optimal requirements and conditions for project implementation in a balanced manner. In contrast to expert methods, the presented analytical method and methodology provide a higher objectivity of the generalized assessment, validity, and effectiveness in making and implementing managerial decisions. The methodology’s universal criteria and procedures make it suitable for application to various kinds of assessment and in various areas of project activity, including research and development work.

About the Author

V. V. Sidorin
Institute of Testing and Certification of Weapons and Military Equipment
Russian Federation

Viktor V. Sidorin, Dr. Sci. (Eng.), Professor

10, Ehlektrodnaya ul., Moscow, 111524


Competing Interests:

The authors declare no conflicts of interest



References

1. Tsipes G.L. Methods of an assessment of efficiency of project-oriented activity. Review of current state and prospects of development. Upravlenie proektami i programmami. 2009;03(19):190–205 (in Russ.).

2. Galushko A.D., Yurina V.S., Yurlova I.S. Review of methods of assessment and analysis of investment projects. NovaInfo. 2016;3(57):317–328 (in Russ.).

3. Gracheva M.V. (Ed.). Risk-analiz investitsionnogo proekta (Risk Analysis of Investment Project). Moscow: YuNITI; 2001. 350 p. (in Russ.). ISBN 5-238-00292-0

4. Illarionov A.V., Klimenko E.Yu. Portfel’ proektov: Instrument strategicheskogo upravleniya predpriyatiem (Project Portfolio: Tool for Strategic Enterprise Management). Moscow: Alpina Publisher; 2013. 312 p. (in Russ.). ISBN 978-5-9614-2261-0

5. Razu M.L. Upravlenie proektom: osnovy proektnogo upravleniya (Project Management: Fundamentals of Project Management). Moscow: KnoRus; 2015. 756 p. (in Russ.). ISBN 978-5-406-04370-7

6. Gracheva M.V. Proektnyi analiz: uchet riskov (Project Analysis: Risk Accounting). Moscow: Prospekt; 2017. 178 p. (in Russ.). ISBN 978-5-392-26095-9

7. Turner J.R. The Handbook of Project-Based Management. London, NY: McGrow-Hill Book; 1995. 540 p. [Turner J.R. Rukovodstvo po proektno-orientirovannomu upravleniyu ( Handbook of Project-Oriented Management): transl. from Engl. Moscow: Grebennikov Publishing House; 2007. 552 p. (in Russ.). ISBN 5-93890-027-1]

8. Benko C., Mak-Farlan F.W. Connecting the Dots: Aligning Projects with Objectives in Unpredictable Times. Harvard Business Review Press; 2003. 246 p.] [Benko C., Mak-Farlan F.W. Upravlenie portfelyami proektov: sootvetstvie proektov strategicheskim tselyam kompanii (Connecting the Dots: Aligning Projects with Objectives in Unpredictable Times): transl. from Engl. Moscow: Vil’yams; 2007. 240 p. (in Russ.). ISBN 978-5-8459-1059-2]

9. Mazur I.I., Shapiro V.D., Olderogge N.G. Upravlenie proektami (Project Management). Moscow: Omega-L; 2001. 664 p. (in Russ.). ISBN 5-370-00049-2

10. Kovalev V.V. Metody otsenki investitsionnykh proektov (Methods of Investment Project Evaluation). Moscow: Finansy i statistika; 2008. 144 p. (in Russ.).

11. Tyapukhin A.P. On the issue of the concept of value chain management. Upravlencheskoe konsul’tirovanie = Administrative Consulting. 2023;11:46–59 (in Russ.). https://doi.org/10.22394/1726-1139-2023-11-46-59

12. Sidorin V.V., Khalilyulina N.B. Model and method of evaluating the effectiveness of the project. Fundamental’nye problemy tekhniki i tekhnologii = Fundamental and Applied Problems of Engineering and Technology. 2024;5(367):81–90 (in Russ.).

13. Sidorin V.V. Design and development of radio-electronic devices using artificial intelligence technologies. In: Actual Problems and Prospects of Development of Radio Engineering and Infocommunication Systems (RADIOINFOCOM-2024): Proceedings of the 8th International Scientific and Practical Conference. Moscow: RTU MIREA; 2024. P. 566–573 (in Russ.).

14. Sidorin V.V., Khalilyulina N.B. Forecasting and management of research and development work by Markov methods. Vestnik Sankt-Peterburgskogo gosudarstvennogo universiteta tekhnologii i dizaina. Seriya 4. Promyshlennye tekhnologii = Vestnik of St. Petersburg State University of Technology and Design. Series 4. Industrial Technologies. 2023;3:58–62 (in Russ.). https://www.elibrary.ru/vgtnor

15. Piegat A. Fuzzy Modeling and Control. NY: Physica Heidelberg; 2001. 728 p. [Piegat A. Nechetkoe modelirovanie i upravlenie (Fuzzy Modeling and Control): transl. from Engl. Moscow: Binom. Laboratoriya znanii; 2009. 798 p. (in Russ.). ISBN 978-5-94774-353-1]

16. Kandel A. Fuzzy Control Systems. Boca Raton: CRC Press; 1994. 656 p.

17. Ledeneva T.M., Reshetnikov A.D. Aspects of the implementation of the fuzzy inference mechanism in fuzzy systems. Mezhdunarodnyi nauchno-issledovatel’skii zhurnal = International Scientific Research Journal. 2021;6(108):107–117 (in Russ.). https://doi.org/10.23670/IRJ.2021.108.6.018

18. Kerzner H. Strategic Planning for Project Management Using a Project Management Maturity Model. NY: J. Wiley; 2001. 280 p. [Kerzner H. Strategicheskoe planirovanie dlya upravleniya proektami s ispol’zovaniem modeli zrelosti (Strategic Planning for Project Management Using a Project Management Maturity Model): transl. from Engl. Moscow: AITi; DMK Press; 2003. 318 p. (in Russ.). ISBN 5-94074-211-4]

19. Guseva E.G. Monitoring i otsenka proektov (Monitoring and Evaluation of Projects). St. Petersburg: TsRNO; 2014. 43 p. (in Russ.).


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Sidorin V.V. Evaluation of the project based on the theory of fuzzy sets and the concept of fuzzy logic. Method and methodology. Russian Technological Journal. 2025;13(5):119-132. https://doi.org/10.32362/2500-316X-2025-13-5-119-132. EDN: TQKWPM

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ISSN 2782-3210 (Print)
ISSN 2500-316X (Online)