Frames knowledge representation model of innovative projects assessment methodologies

D.A. Istomin; M.B. Gitman; V.A. Trefilov

Frames knowledge representation model of innovative projects assessment methodologies

D.A. Istomin¹, M.B. Gitman², V.A. Trefilov³

research article UDC 004.823 Pages: 12-22

¹ Post-graduate Student, Perm National Research Polytechnic University
² Dr.Sc. (Phys.-Math.), Professor, Perm National Research Polytechnic University
³ Dr.Sc. (Eng.), Professor, Perm National Research Polytechnic University E

Keywords: frames knowledge representation methods of assessment innovations innovative project manufacturing enterprise

Abstract

An industrial enterprise that carries out innovative and investment activities is considered. Many innovative projects at the enterprise are considered with the purpose to be chosen for implementation at some point. The possibility of automating the evaluation of data of innovative projects using knowledge presentation methods is considered. It is proposed to use the frame representation of knowledge to describe the methods of evaluating innovative projects. The analysis of existing description languages of the knowledge representation based on frames is carried out. A language for describing frame structures based on FRL is selected and refined. The description of the parsing implementation and the algorithm of logical inference using the UML language is given. A demo example of logical inference through a network of frames is given with an emphasis on the calculation of the innovative project’s risks.

How to cite

Истомин Д.А., Гитман М.Б., Трефилов В.А. Фреймовая модель представления знаний для методик оценивания инновационных проектов // Нейрокомпьютеры: разработка, применение. 2018. № 2. С. 12–22.

References

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[1] Kovalev G.D. Osnovy' innovaczionnogo menedzhmenta: Uchebnik dlya vuzov / Pod red. prof. V.A. Shvandara. M.: JuNITI-DANA. 1999. 208 s.

[2] Upravlenie innovaczionny'mi proektami: Ucheb. posobie / Pod. red. prof. V.L. Popova. M.: INFRA-M. 2009. 336 s.

[3] Vilenskij P.L., Livshicz V.N., Smolyak S.A. Oczenka e'ffektivnosti investiczionny'x proektov: teoriya i praktika: Ucheb. posobie. Izd. 5-e, pererab. i dop. M.: Poli Print Servis. 2015. 1300 s.

[4] Doladov K.Ju. E'konomicheskaya oczenka investiczionnogo riska pri prinyatii upravlencheskix reshenij: Na primere promy'shlenny'x predpriyatij Samarskoj oblasti: Diss. ... kand. e'kon. nauk. Samara. 2002. 187 s.

[5] Kolty'nyuk B.A. Investiczionny'e proekty': uchebnik. SPb.: Izd-vo Mixajlova V.A., 2000. 422 s.

[6] Ionov Ju.G. Risk-prediktory' v zadachax obosnovaniya upravlencheskix reshenij: Diss. ... kand. e'kon. nauk. Voronezh. 2004. 162 s.

[7] Sheremet V.V., Pavlyuchenko V.M., Shapiro V.D. Upravlenie investicziyami: V 2-x t. T. 2. M.: Vy'sshaya shkola. 1998. 512 s.

[8] Roberts R.B., Goldstein I.P. The FRL Primer. Massachusetts Institute of Technology, Cambridge, MA, 1977. № AI-M-408.

[9] Bobrow D.G., Winograd T. An Overview of KRL, a Knowledge Representation Language // Cognitive Science. 1977. T.1. № 1. S. 3–46.

[10] Brachman R.J., Schmolze J.G. An overview of the KL-ONE Knowledge Representation System // Cognitive science. 1985. T. 9. № 2. S. 171–216.

[11] Woods W.A., Schmolze J.G. The KL-ONE family // Computers & Mathematics with Applications. 1992. T. 23. № 2–5. S. 133–177.

[12] Gamma E., Helm R., Johnson R., Vlissides J. // Design Patterns: Elements of Reusable Object-Oriented Software. 1995.

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