TECHNICAL MECHANICS
ISSN (Print): 1561-9184, ISSN (Online): 2616-6380

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UDC 519.816

Technical mechanics, 2020, 1, 91 - 105

DETERMINATION OF THE PRIORITY OF R&D PROJECTS USING A CRITERIA SCALING ALGORITHM

DOI: https://doi.org/10.15407/itm2020.01.091

Mamchuk V. M.

Mamchuk V. M.
Institute of Technical Mechanics of the National Academy of Sciences of Ukraine and the State Space Agency of Ukraine

      Determining the priority of R&D projects is one of the main problems in scientific activity organization on a competitive basis. The aim of this paper is to develop a method for multicriteria evaluation and ranking of R&D projects. The paper uses methods of decision-making theory, multi-attribute value theory, and verbal analysis. The familiar independent-scaling algorithm, which is based on the value dichotomy method, is analyzed. As a result, procedures for criteria co-scaling and determining preference midpoints on their given variation intervals are refined. A procedure is proposed for extrapolating stable superiority relations to facilitate a search for preference midpoints in situations where the decision maker has difficulties in fixing equivalence relations. Algorithms for constructing local value functions for quantitative and qualitative criteria are presented. A method is proposed for constructing an integral criterion for the value of alternatives in normalized additive form. The method allows one to find the values of local value functions for qualitative criteria from function graphs built for quantitative criteria. The values of discrete value functions and the normalizing factors are determined from a system of algebraic equations, which is a mapping of the system of equal preferences of the decision maker. The proposed method is illustrated by calculating the priority of R&D projects. Unlike the independent-scaling algorithm, which can be used only for quantitative criteria, the proposed method allows one to rank alternatives in the space of quantitative and qualitative criteria with a resolution equal to one. The results reported in this paper may be used in calls for projects and in the formation of R&D programs in the space industry.
     

projects, evaluation, ranking, quantitative and qualitative criteria, local value function, integral criterion

1. Nikolaev V. I., Bruk V. M. Â. È. Systems Engineering: Methods and Applications. Leningrad: Mashinostroyeniye, 1985. 199 pp. (in Russian).

2. Keeney R. L., Raifa H. Decision Making with Multiple Objectives: Preferences and Value Tradeoffs. Moscow: Radio i Svyas, 1981. 560 pp. (in Russian).

3. Petrovsky A. B. Decision Making Theory. Moscow: Academia Publishing House, 2009. 400 pp. (in Russian).

4. Larichev O. I. Theory and Methods of Decision Making and a Chronicle of Events in Wonderlands. Moscow: Logos, 2006. 392 pp. (in Russian).

5. Lotov A. V., Pospelova I. I. Multicriteria Problems of Decision Making. Moscow: MAKS Press, 2008. 197 pp. (in Russian).

6. Totsenko V. G. Methods and Systems of Decision Making Support. Algorithmic Aspect. Kyiv: Naukova Dumka, 2002. 381 pp. (in Russian).

7. Troshin D. V. Scalarization of vector preferences: Overcoming of primitivization. Effektivnoye Antikrizisnoye Upravleniye. 2013. No. 3 (78). Pp. 88-94. (in Russian). https://doi.org/10.17747/2078-8886-2013-3-88-94

8. Von Winterfeldt D. An overview, integration and evaluation of utility theory for decision analysis. Soc. Science Research Institute, Report 75-9. University of Southern California, Aug. 1975. 87 pp.

9. Larichev O. I., Moshkovich E. M. Qualitative Methods of Decision Making. Verbal Analysis of Solutions. Moscow: Nauka. Fizmatlit, 1996. 208 pp. (in Russian).

10. Pylypenko O. V., Pereverzev E. S., Marchenko V. T., Khorolskyi P. P., Pechenevskaya O. K. Effectiveness of R&D Projects and Programs. Dnipropetrovsk: Porogi, 2008. 509 pp. (in Russian).

11. Petrovsky A. B., Roizenzon G. V., Tykhonov I. P., Balyshev A. V. Multicriteria approach to research project effectiveness evaluation. Bulletin of the National Technical University "KhPI," Information and Modeling. 2009. No. 43. Pp. 138-148. (in Ukrainian).

12. Petrovsky A., Boychenko V., Zaboleeva-Zotova A., Shitova T. Multi-criteria methods of competitive selection of projects in the Science Foundation. International Journal Information Technologies & Knowledge. 2015. V. 9. No. 1. Pp. 59-71.

13. Voronin A. Multicriteria evaluation of space activity projects. International Journal Information Technologies & Knowledge. 2014. V. 8, No. 1. Pp. 14-21.

14. Lisetsky Yu. M, Snityuk V. E. Formation of an integral effectiveness criterion in problems of choice of an optimum alternative design. Matematychni Mashyny i Systemy. 2015. No. 1. Pp. 157-163. (in Russian).

15. Rudenko S. V., Glovatskaya S. N. Model of the formation of a university's international project portfolio. Bulletin of the National Technical University "KhPI." 2016. No, 2 (1174). Pp. 36-40. (in Russian). https://doi.org/10.20998/2413-3000.2016.1174.8

16. Beskorovainy V. V., Moskalenko A. S., Podolyaka K. E. Multifactor evaluation of large-scale object reengineering based on comparative identification. Elektrotekhnicheskiye i Kompyuternye Sistemy. 2016. No. 23 (99). Pp. 192-200. (in Russian). https://doi.org/10.15276/eltecs.23.99.2016.30

17. Bezruk V. M., Chebotareva D. V., Skorik Yu. V. Multicriteria Analysis and Choice of Telecommunication Facilities. Kharkiv: SMIT Company, 2017. 268 pp. (in Russian).

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