Science, Technologies, Innovations №1(17) 2021, 3-16 p

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http://doi.org/10.35668/2520-6524-2021-1-01

Reva O. M. — Doctor of Technical Sciences, Professor, Principal Researcher at Ukrainian Institute of Scientific and Technical Expertise and Information, Antonovich Str., building 180, 02000; Kyiv, Ukraine; +38 (044) 521-00-10; ran54@meta.ua; ORCID: 0000-0002-5954-290X

Borsuk S. P. — Engineering sciences doctor, Associate professor, Postdoctoral researcher at Wenzhou University, Wenzhou, People Republic of China, Chashan University Town, Wenzhou City, Zhejiang Province, China grey1s@yandex.ua. ORCID: 0000-0002-7034-7857

Zasanska S. V. — Economic sciences candidate, Associate professor, Head of methodical and information support of expert activity department at Ukrainian Institute of Scientific and Technical Expertise and Information, Antonovich Str., building 180, 02000; Kyiv, Ukraine; +38 (044) 521-00-10; zasanski@gmail.com; ORCID: 0000-0003-3819-0404

Yarotskyi S. V. — Head of management and administration department at National Aviation University, Lubomyra Huzara ave., Kyiv 03058 +38 (044) . 406-74-59; stas_gas@ua.fm

THEORETICAL BACKGROUND OF ESTIMATION METHODOLOGY FOR INTELLECTUAL PROPERTY OBJECTS INVESTMENT ATTRACTIVENESS

Abstract. Technology transfer efficiency directly depends on the rate of intellectual property objects attractiveness. These objects involved in this process are selected by the technology user. Investment attractiveness of these objects is the only one that possess emergence property. It allows to compare different objects via same criteria. Theoretical groundings of investment attractiveness integral estimate are developed in this proceeding. The methodology is based on system analysis and decision-making theory. Namely it includes single-step decision-making task with vector efficiency index. Intellectual property objects estimation with indexes is taking into account. It is proven that experts’ individual preferences systems on the defined set of criteria determine experts’ “tastes”. They are considered as pattern masks for correspondent proper conclusion. Statistically agreed group preferences system demonstrates experts’ generalized opinion and should be used as a base for final conclusion about efficiency of intellectual property estimation indexes significance. Expression rate of these indexes has qualitative linguistic type. It is the same as for their ranks in the preferences systems. Thus they might be subjected to defuzzification procedure by significance coefficients application. This task is simply completed with priority arrangement method implementation. Multiplicative approach to the partial efficiency significance estimates aggregation is described. It provides integral estimate that characterizes single efficiency index and allows further indexes aggregation into single parameter. It determines attractiveness of intellectual property object and supports avoidance of mistakes of I and II type. Integral innovative intellectual property object attractiveness estimates are subjected to the normal distribution law. As an example the criteria of fuzzification implementation for multiple estimates are developed. This provides qualitative-quantitative research of considered objects.

Keywords: intellectual property object, efficiency index, expression rate, expert procedures, decision making task with multiple criteria, partial indexes multiplication, significance coefficients.

REFERENCES

  1. Solovyev, V. P. (2006). Innovatsionnaya deyatelnost kak sistemnyy protsess v konkurentnoy ekonomike (Sinergeticheskiye effekty innovatsiy) [Innovation activity as a systemic process in a competitive economy (Synergetic effects of innovation)]. Kyiv, 560 p.
  2. Iokhna, M. A., & Kozachok, O. V. (2012). Transfer tekhnolohii: sut, formy i znachennia [Transfer of technologies: essence, form and meaning]. Visnyk Khmelnytskoho natsionalnoho universytetu [Bulletin of the Khmelnytsky National University]. 3, 69–72.
  3. Butenko, D. S., & Tkachuk, I. I. (2015). Transfer innovatsiinykh tekhnolohii: sutnist i znachennia dlia suchasnoi ekonomiky Ukrainy [Transfer of innovative technologies: the day and the significance for the current economy of Ukraine]. Hlobalni ta natsionalni problemy ekonomiky [Global and national problems of economy]. 3, 232–235.
  4. Pro vnesennia zmin do Zakonu Ukrainy “Pro derzhavne rehuliuvannia diialnosti u sferi transferu tekhnolohii” [About the introduction of amendments to the Law of Ukraine “On the state regulation of activity in the sphere of technology transfer”]. Zakon Ukrainy vid 02.20.2012 № 5407­17 [Law of Ukraine dated 02.20.2012 r. No. 5407­17]. Retrieved from: http://zakon2.rada.gov.ua/laws/show/143–16.
  5. Utkina, V. F., & Kryuchkova, Yu. V. (in Ed.) (1988). Nadezhnost i effektivnost v tekhnike: Effektivnost tekhnicheskikh sistem [Reliability and efficiency in technology: Efficiency of technical systems]. Moscow, 328 р.
  6. Anfilatov, V. S., Yemelyanov, A. A., & Kukushkin, A. A. (2002). Sistemnyy analiz v upravlenii [System analysis in management]. Moscow, 368 р.
  7. Robu Valentin, Halpin H., & Shepherd, H. (2009). Emergence of concensus and shared vocabularies in collaborative tagging systems, ACM. Transactions on the Web (TWEB). Vol. 3(4). Article 14, September. https://doi.org/10.1145/1594173.1594176
  8. Podinovskij, V. V., & Nogin, V. D. (1982). Pareto­optimal’nye resheniya mnogokriterial’nyh zadach [Pareto­optimal solutions of multicriteria problems]. Moscow, 344 p.
  9. Lotov, A. V., & Pospelova, I. I. (2008). Mnogo­
    kriterial’nye zadachi prinyatiya reshenij [Multicriteria problems of decision making].  Moscow, 197 p.
  10. Voloshyn, O. F., & Mashchenko, S. O. (2010). Modeli i metody pryiniattia rishen [Models and Methods for Accepting Solutions]. Kyiv. Retrieved from: http://www.cyb.univ.kiev.ua/library/books/voloshyn­20.pdf.
  11. Kirillov, V. I. (2011). Kvalimetriya i sistemnyj analiz [Qualimetry and system analysis]. Minsk; Moscow.  440 p.
  12. Kuts, V. R., Stoliarchuk, P. H. & Druziuk V. M. (2012). Kvalimetriia [Qualimetry]. Lviv, 256 p.
  13. Reva, O. M., Borsuk, S. P., Kamyshyn, V. V., Shulhin, V. A., Parkhomenko, V. D., & Lypchnskyi, V. O. (2019). Systemno­informatsiina metodolohiia proaktyvnoi kvalimetrii vplyvu liudskoho chynnyka na pryiniattia rishen v aeronavihatsiinykh systemakh [System­information methodology of proactive qualimetry of human factor influence on decision­making in aeronautical systems]. Kyiv. 166 p.
  14. Hurochkina V. V. (2019). Emerdzhentnist — fenomen skladnykh ekonomichnykh system [Emergency — the phenomenon of folding economy systems]. Visnyk Natsionalnoho Khmelnytskoho universytetu [Bulletin of the National Khmelnytsky University]. 6, 63–70.
  15. Вентцель, Е. С. (1969). Теория вероятностей [Probability theory]. Moscow, 576 р.
  16. Bronshteyn, I. N., & Semendyaev, K. A.; G.  Groshe, V. Tsiglera (Ed.) (1981). Spravochnik po matematike (dlya inzhenerov i uchashchikhsya vuzov) [Handbook on mathematics (for engineers and students of universities)]. Leyptsig; Moscow, 719 р.
  17. Gnedenko, B. V., & Hinchin, A. YA. (2003). Elementarnoe vvedenie v teoriyu veroyatnostej [Elementary introduction to the theory of probabilities]. Moscow, 206 p.
  18. Miller, G. (1956). The magical number seven, plus or minus two : some limits on or capacity for processing information. Psychological Review. No. 63. P. 81–97. https://doi.org/10.1037/h0043158
  19. Kozeletskyi, Yu.; Ed. B. V. Byriukova (1979). Psykholohycheskaia teoryia reshenyi [Psychological Theory of Solutions]. Moscow, 504 р.
  20. Krbatya, P., & Myullner, J. (1979). Psihologiya truda [Labor Psychology]. Moscow, 216 p.
  21. Parkynson, S.N. (1989). Zakony Parkynsona [Parkinson’s Laws]. Moscow, 448 p.
  22. Herasymov, B. M., & Kamyshyn, V. V. (2009). Orhanizatsiina erhonomika: Metody ta alhorytmy doslidzhen i proektuvannia [Organizational ergonomics: Methods and algorithms for research and design]. Kyiv. 212 p.
  23. Zade, L.; Moiseeva N. N., & Orlovskyi, S. A. (Ed). (1976). Ponyatie lingvisticheskoy peremennoy i ego primenenie k prinyatiyu priblizhennykh resheniy [The concept of a linguistic variable and its application to the adoption of approximate solutions]. Moscow, 165 р.
  24. Adler, Yu. P., Markova, Ye. V., & Granovskiy, Yu. V. (1976). Planirovanie eksperimenta pri poiske optimalnykh usloviy [Planning an experiment in search of optimal conditions]. Moscow, 278 p.
  25. Koroleva, S. V. (2011). Prakticheskie aspekty ispol’zovaniya funkcii zhelatel’nosti v mediko­biologicheskom eksperimente [Practical aspects of the use of the desirability function in a biomedical experiment]. Sovremennye problemy nauki i obrazovaniya [Modern problems of science and education]. 6. Retrieved from: http://www.science­education.ru/ru/article/view?id=5270.
  26. Kamyshуn, V. V., & Reva, A. N. (2013). Sovershen­stvovanie shkaly Kharringtona dlya integralnoy otsenki akademicheskoy odarennosti [Improving the Harrington Scale for Integral Assessment of Academic Giftedness]. Obdarovanі dіty — іntelektualnyi potentsіal derzhavy [Gifted Children is Intellectual Potential of the State]. Kyiv, P.  23–33.
  27. Lyubushkin, N. P., & Brikach, G. E. (2014). Ispol’zovanie obobshchennoj funkcii zhelatel’nosti Harringtona v mnogoparametricheskih ekonomicheskih zadachah [Use of the generalized function of desirability of Harrington in multiparameter economic problems]. Ekonomicheskij analiz: teoriya i praktika [Economic analysis: theory and practice]. 18, 2–10.
  28. Reva, A. N., Borsuk, S. P., Myrzoev, B.M., & Shulgin, V. A. et al. (2014). Multiplikativnyy podkhod k integralnoy otsenke urovnya professionalnoy podgotovki aviatsionnykh operatorov [A multiplicative approach to the integrated assessment of the level of training of aviation operators]. Elmi məcmuələr: Jurnal Milli Aviasiya Akademiyasinin. 3, 42–51.
  29. Reva, O., Borsuk, S., & Kharchenko, V. (2015). Multiplication of Air Accidents Frequency and Hazard Desirability Coefficients for ICAO Safety Risk Tolerability Matrix Solution. Logistics and Transport. 1, 63–69.
  30. Reva, O. M., Kamyshyn, V. V., & Dobrovolska, N. A.
    (2016). Innovatsiinyi pidkhid do vdoskonalennia zovnishnoho nezalezhnoho otsiniuvannia [Innovation pidhid to the full extent of the new independent assessment]. Pedahohichni innovatsii: idei, realii, perspektyvy [Pedagogical innovations: ideas, realities, prospects]. 1. 37–53.
  31. Reva, O. M., Kamyshyn, V. V., Borsuk, S. P., Nevynitsyn, A. M., & Shulhin, V. A. (2020). Liudskyi chynnyk: Metodolohiia proaktyvnoi kvalimetrii zahroz pomylok aviadyspetcheriv [Ludskiy bureaucrat: methodology of proactive qualimetry of threats to traffic controllers]. Kyiv. 126 p. https://doi.org/10.35668/978­966­479­120­2
  32. Reva, O., Kamyshyn, V., Nevynitsyn, A., Shulgin, V., & Nedbay, S. (2020). Criteria Indicators of the Consistency of Air Traffic Controllers’ Preferences on a Set of Characteristic Errors. Advances in Human Aspects of Transportation Proceedings of the AHFE 2020 : Virtual Conference on Human Aspects of Transportation (July 16–20, 2020, Springer, USA). P. 617–623. https://doi.org/10.1007/978­3­030­50943­9_79
  33. Harrington, E. C. (1965). Desirability Function. Industrial Quality Control. Vol. 21. 10. 494–498.
  34. Ivanov, A. O. (2003). Teoriia avtomatychnoho keruvannia [Theory of automatic keruvannya]. Dnipro­
    petrovsk, 250 p.
  35. Kamyshyn, V. V., Reva, O. M., Makarenko, L. M., & Medvedenko, O. M. (2012). Protsedura fazyfi­katsii / defazyfikatsii baliv shkal otsiniuvannia [The procedure of phasification / dephasing of scoring scoring points]. Elektronika ta systemy upravlinnia [Electronics and control systems]. 3, 53–62.
  36. Kofman, A.; Travkina S. I. (Ed.). (1982). Vvedenie v teoriyu nechetkikh mnozhestv [Introduction to the theory of fuzzy sets]. Moscow, 432 р.
  37. Borisov, A. N., Krumberg, O. A., & Fedorov, I. P. (1990).
    Prinyatie reshenij na osnove nechetkih modelej: Primery ispol’zovaniya [Decision­making based on fuzzy models: Examples of use]. Riga, 184 p.
  38. Samokhvalov, Yu. Ya., & Naumenko, Ye. M. (2007). Ekspertnoe otsenivanie: metodicheskiy aspekt [Expert evaluation: the methodological aspect]. Kyiv, 362 р.
  39. Cherchmen, U., Akoff, R., & Arnof, L. (1968). Vvedenie v issledovanie operatsiy [Introduction to the study of operations]. Moscow, 486 р.
  40. Denisov, A. A., & Kolesnikov, D. N. (1981). Teoriya bolshikh sistem upravleniya [The Theory of Large Control Systems]. Leningrad, 238 р.
  41. Saati, T. (1993). Prinyatie resheniy. Metod analiza ierarkhiy [Decision­making. The method of analyzing hierarchies]. Moscow, 314 р.
  42. Kremen, V. H. (2017). Cuchasne myslennia y osvita: metodolohichnyi kontsept [Suchasne missed education: methodological concept]. Ukrainskyi pedahohichnyi zhurnal [Ukrainian pedagogical journal]. 3, 5–14.
  43. Vasil’ev, V. I. (1983). Raspoznayushchie sistemy [Recognition systems]. Kyiv, 423 p.
  44. Kononyuk, A. E. (2012). Obshchaya teoriya raspoz­
    navaniya [General recognition theory]. Kyiv, 584 p.
  45. CHaban, L. N. (2004). Teoriya i algoritmy raspoznavaniya obrazov [Theory and algorithms for pattern recognition]. Moscow, 70 p.
  46. Reva, O. M., Kamyshyn, V. V., Nevynitsyn, A. M., & Shulhin, V. A. (2019). Aprobatsiia dyferentsialnoho pidkhodu do vyznachennia nebezpek pomylok aviadyspetcheriv u profesiinii diialnosti [Approbation of a differential approach before the appointment of certain pledges of air traffic controllers from professional activities]. Suchasni enerhetychni ustanovky na transporti, tekhnolohii ta obladnannia dlia yikh obsluhovuvannia SEUTTOO­2019 [Other power plants for transport technologies and possessions for їх service providers SEUTTO­2019]. Kherson, P. 304–307.
  47. Reva, O. M., Kamyshyn, V. V., Nevynitsyn, A. M., & Shulhin, V. A. (2019). Dyferentsialnyi metod vstanovlennia porivnialnoi nebezpeky pomylok aviadyspetcheriv [Differential method of establishing the comparative danger of errors of air traffic controllers]. Nauka, tekhnolohii, innovatsii [Science, technologies, innovations]. 3 (11), 70–82. doi: http://doi.org/10.35668/2520­6524­2019­3­08.
  48. Beshelev, S. D., & Gurvich, F. G. (1980). Matematiko­statisticheskie metody ekspertnykh otsenok [Mathematical and statistical methods of expert evaluation]. Moscow, 263 р.
  49. Nasirov, Sh. Sh. (2012). Bahatokrokova protsedura vyiavlennia statystychno­uzghodzhenoi systemy perevah aviadyspetcheriv na mnozhyni kharakternykh pomylok yikh diialnosti [Multistep procedure for the identification of the statistically harmonized system of advantages of air traffic controllers on a set of characteristic errors of their activities]. Komunalne hospodarstvo mist: naukovo­tekhnichnyi zbirnyk [Municipal economy of cities: scientific and technical collection]. 105, 461–475.
  50. Reva, O. M., Kamyshyn, B. B., Nevynitsyn, A. M., & Radetska, C. B. (2019). Bahatokrokova protsedura pryiniattia rishen shchodo uzghodzhenosti hrupovykh system perevah aviadyspetcheriv [Multi­step decision­making procedure on the consistency of group systems of air traffic controllers preferences]. Tekhnichne rehuliuvannia, metrolohiia, informatsiini ta transportni tekhnolohii [Technical regulation, metrology, information and transport technologies]. Odesa, Р. 147–152.
  51. Tarasov, V. A., Gerasimov, B. M., Levin, I. A., & Kornejchuk, V. A. (2007). Intellektual’nye sistemy podderzhki prinyatiya reshenij: Teoriya, sintez, effektivnost’ [Intelligent systems of decision support: Theory, synthesis, efficiency]. Kyiv, 336 p.
  52. Kemeni, Dzh., & Snell, Dzh. (1972). Kiberneticheskoe modelirovanie: Nekotorye prilozheniya [Cybernetic modeling: Some applications]. Moscow, 192 p.
  53. Orlov, A. I. (2011). Organizatsionno­ekonomicheskoe modelirovanie. Еkspertnye otsenki [Organizationaleconomic modeling. Expert assessments]. Moscow, 486 р.
  54. Reva, O. M., Kamyshyn, V. V., Shulhin, V. A., & Nevynitsyn A. M. (2020). Systemnyi analiz: mediana Kemeni yak optymizatsiina model hrupovoi systemy perevah aviadyspetcheriv na nebezpekakh kharakternykh pomylok [Systems analysis: the median Kemeni as an optimization model of the group system of air traffic controllers’ preferences on the dangers of characteristic errors]. Nauka, tekhnolohii, innovatsii [Science, technology, innovation]. 3, 55–64. doi: http://doi.org/10.35668/2520­6524­2020­3­06.
  55. Berzh, K. (1962). Teoriya grafov i ee primenenie [The theory of graphs and its application]. Moscow, 320 р.
  56. Blyumberg, V. A., & Glushchenko, V. F. (1982). Kakoe reshenie luchshe? Metod rasstanovki prioritetov [What is the best solution? Method of arrangement of priorities]. Leningrad, 160 р.