According to methodology of decision making support in innovative projects management, developed on the previous stages of the research, a method of expert's knowledge formalization based on the decision making support ontology, was developed. The method allows to integrate the means of ontological analysis and knowledge representation in the knowledge base creation for decision making support in problem situations. Knowledge base is structured according to the set of classes selected by the results of ontological analysis. Knowledge, which logical system is ordered, is presented in the module of rules. Decomposition of the rule base is performed in accordance with the hierarchy of objects established as a result of modelling. Empirical knowledge for solving the problems of innovative projects management is presented in the form of cases for providing recommendations that can be adapted to a concrete problem situation. Keywords-knowledge base, intellectual decision making support, innovative projects management, ontological engineering, knowledge management, decision making rules, cases of problem situations As a part of the research possibility of using the intellectual knowledge management technologies to improve the efficiency of the project "Reconstruction and technical

Ⱥɧɧɨɬɚɰɢɹ ɋɬɚɬɶɹ ɩɨɫɜɹɳɟɧɚ ɪɚɫɫɦɨɬɪɟɧɢɸ ɪɨɥɢ ɚɤɬɨɪɚ ɜ ɧɚɡɧɚɱɟɧɢɢ ɮɭɧɤɰɢɨɧɚɥɶɧɵɯ ɫɜɨɣɫɬɜ ɛɚɡɨɜɵɯ ɢ ɷɬɚɥɨɧɧɵɯ ɨɛɪɚɡɰɨɜ ɚɩɩɚɪɚɬɧɨ-ɩɪɨɝɪɚɦɦɧɵɯ ɤɨɦɩɥɟɤɫɨɜ (ȺɉɄ). Ɋɚɫɫɦɨɬɪɟɧɵ ɨɫɨɛɟɧɧɨɫɬɢ ɮɨɪ-ɦɢɪɨɜɚɧɢɹ ɜɧɟɲɧɟɝɨ ɨɛɥɢɤɚ ȺɉɄ ɫ ɩɨɡɢɰɢɣ ɩɨɥɨɠɟɧɢɣ ɬɟɨɪɢɢ ɢɧɬɟɪɫɭɛɴɟɤɬɢɜɧɨɝɨ ɭɩɪɚɜɥɟɧɢɹ. Ɋɚɫɫɦɨɬɪɟɧɵ ɩɨɧɹɬɢɹ «ɜɪɟɞɧɵɟ» ɢ «ɩɨɥɟɡɧɵɟ» ɮɭɧɤɰɢɢ ȺɉɄ ɫ ɭɱɺɬɨɦ ɬɨɱɤɢ ɡɪɟɧɢɹ ɪɚɡɥɢɱɧɵɯ ɚɤɬɨɪɨɜ. ɉɪɟɞɥɨɠɟɧɵ ɜɟɤɬɨɪɧɵɟ ɩɪɟɞɫɬɚɜɥɟɧɢɹ ɮɭɧɤɰɢɨɧɚɥɶɧɵɯ ɫɜɨɣɫɬɜ ɛɚɡɨɜɵɯ ɨɛɪɚɡɰɨɜ, ɩɪɢ-ɜɟɞɟɧɚ ɦɧɨɝɨɦɟɪɧɚɹ ɦɨɞɟɥɶ, ɩɨɡɜɨɥɹɸɳɚɹ ɚɧɚɥɢɡɢɪɨɜɚɬɶ ɮɭɧɤɰɢɨɧɚɥɶɧɵɟ ɫɜɨɣɫɬɜɚ ȺɉɄ ɫ ɭɱɺ-ɬɨɦ ɪɚɡɧɵɯ ɪɟɠɢɦɨɜ ɢɫɩɨɥɶɡɨɜɚɧɢɹ ɢ ɪɚɡɥɢɱɧɵɯ ɦɧɟɧɢɣ ɚɤɬɨɪɨɜ. ɉɪɟɞɥɨɠɟɧ ɩɨɞɯɨɞ ɤ ɨɰɟɧɢɜɚ-ɧɢɸ ɫɬɟɩɟɧɢ ɨɬɤɥɨɧɟɧɢɹ ɫɜɨɣɫɬɜ ȺɉɄ ɨɬ ɛɚɡɨɜɵɯ, ɚ ɬɚɤɠɟ ɮɭɧɤɰɢɨɧɚɥɶɧɨɣ ɩɪɢɝɨɞɧɨɫɬɢ ȺɉɄ ɫ ɭɱɺɬɨɦ ɫɨɜɨɤɭɩɧɨɫɬɢ ɨɰɟɧɨɤ ɚɤɬɨɪɨɜ. Ʉɥɸɱɟɜɵɟ ɫɥɨɜɚ: ɢɧɬɟɪɫɭɛɴɟɤɬɢɜɧɨɟ ɭɩɪɚɜɥɟɧɢɟ, ɩɪɨɟɤɬɢɪɨɜɚɧɢɟ, ɮɭɧɤɰɢɨɧɚɥɶɧɚɹ ɛɟɡɨɩɚɫ-ɧɨɫɬɶ, ɞɟɮɟɤɬ ɚɩɩɚɪɚɬɧɨ-ɩɪɨɝɪɚɦɦɧɨɝɨ ɤɨɦɩɥɟɤɫɚ, ɚɤɬɨɪ, ɮɭɧɤɰɢɹ ɩɪɢɧɚɞɥɟɠɧɨɫɬɢ.ɐɢɬɢɪɨɜɚɧɢɟ: Ƚɜɨɡɞɟɜ, ȼ.ȿ. ɉɪɟɞɭɩɪɟɠɞɟɧɢɟ ɞɟɮɟɤɬɨɜ ɧɚ ɪɚɧɧɢɯ ɫɬɚɞɢɹɯ ɩɪɨɟɤɬɢɪɨɜɚɧɢɹ ɚɩɩɚ-ɪɚɬɧɨ-ɩɪɨɝɪɚɦɦɧɵɯ ɤɨɦɩɥɟɤɫɨɜ ɧɚ ɨɫɧɨɜɟ ɩɨɥɨɠɟɧɢɣ ɬɟɨɪɢɢ ɢɧɬɟɪɫɭɛɴɟɤɬɢɜɧɨɝɨ ɭɩɪɚɜɥɟɧɢɹ / ȼ.ȿ. Ƚɜɨɡɞɟɜ, Ⱦ.ȼ. Ȼɥɢɧɨɜɚ, Ʌ.Ɋ. ɑɟɪɧɹɯɨɜɫɤɚɹ // Ɉɧɬɨɥɨɝɢɹ ɩɪɨɟɤɬɢɪɨɜɚɧɢɹ. -2016- . -Ɍ. 6, ʋ4(22). -ɋ. 452-464. -DOI: 10.18287/2223- -9537-2016 ȼɜɟɞɟɧɢɟ ȼɫɺ ɜɨɡɪɚɫɬɚɸɳɚɹ ɪɨɥɶ ɫɢɫɬɟɦ ɨɛɪɚɛɨɬɤɢ ɢɧɮɨɪɦɚɰɢɢ ɢ ɭɩɪɚɜɥɟɧɢɹ ɜ ɠɢɡɧɢ ɫɨɜɪɟɦɟɧ-ɧɨɝɨ ɨɛɳɟɫɬɜɚ ɨɛɭɫɥɨɜɢɥɚ ɧɟɨɛɯɨɞɢɦɨɫɬɶ ɩɨɹɜɥɟɧɢɹ ɧɨɜɨɝɨ ɧɚɩɪɚɜɥɟɧɢɹ ɧɚɭɱɧɵɯ ɢɫɫɥɟɞɨ-ɜɚɧɢɣ ɢ ɫɨɡɞɚɧɢɹ ɩɪɢɤɥɚɞɧɵɯ ɢɧɫɬɪɭɦɟɧɬɨɜ -ɞɟɮɟɤɬɨɥɨɝɢɢ ɚɩɩɚɪɚɬɧɨ-ɩɪɨɝɪɚɦɦɧɵɯ ɤɨɦ-ɩɥɟɤɫɨɜ (ȺɉɄ) [1][2][3][4]. Ʉ ɱɢɫɥɭ ɨɩɨɪɧɵɯ ɜ ɪɚɦɤɚɯ ɷɬɨɝɨ ɧɚɩɪɚɜɥɟɧɢɹ ɨɬɧɨɫɹɬɫɹ ɩɨɧɹɬɢɹ «ɤɚɱɟ-ɫɬɜɨ» ɢ «ɫɢɦɩɬɨɦɵ ɞɟɮɟɤɬɨɜ» (ɩɨɫɥɟɞɧɢɟ ɜɵɪɚɠɚɸɬɫɹ ɜ ɨɬɤɥɨɧɟɧɢɢ ɩɨɤɚɡɚɬɟɥɟɣ ɤɚɱɟɫɬɜɚ ɢɡɞɟɥɢɹ ɨɬ ɛɚɡɨɜɵɯ ɩɨɤɚɡɚɬɟɥɟɣ ɤɚɱɟɫɬɜɚ).ɇɟɨɛɯɨɞɢɦɨɫɬɶ ɪɚɡɪɚɛɨɬɤɢ ɩɨɞɯɨɞɨɜ ɤ ɚɧɚɥɢɡɭ ɫɢɦɩɬɨɦɨɜ ɞɟɮɟɤɬɨɜ ɜɵɡɵɜɚɟɬɫɹ ɬɟɦ, ɱɬɨ ɷɬɨ ɫɨɡɞɚɺɬ ɢɧɮɨɪɦɚɰɢɨɧɧɵɣ ɛɚɡɢɫ ɞɥɹ ɩɪɢɧɹɬɢɹ ɨɛɨɫɧɨɜɚɧɧɵɯ ɪɟɲɟɧɢɣ, ɜɨ-ɩɟɪɜɵɯ, ɨ ɞɟɣ-ɫɬɜɢɹɯ ɩɨ ɥɨɤɚɥɢɡɚɰɢɢ ɢ ɭɫɬɪɚɧɟɧɢɸ ɞɟɮɟɤɬɨɜ ɢ, ɜɨ-ɜɬɨɪɵɯ, ɨɛ ɨɛɴɺɦɚɯ ɪɟɫɭɪɫɨɜ, ɤɨɬɨɪɵɟ ɫɥɟɞɭɟɬ ɜɵɞɟɥɢɬɶ ɞɥɹ ɫɧɢɠɟɧɢɹ ɤɨɥɢɱɟɫɬɜɚ ɞɟɮɟɤɬɨɜ ɞɨ ɭɪɨɜɧɹ, ɩɪɢɟɦɥɟɦɨɝɨ ɫ ɬɨɱɤɢ ɡɪɟɧɢɹ ɩɨɥɶɡɨɜɚɬɟɥɹ ɢɡɞɟɥɢɹ [5].ɉɨɧɹɬɢɟ «ɞɟɮɟɤɬ» ɧɟɪɚɡɪɵɜɧɨ ɫɜɹɡɚɧɨ ɫ ɩɨɧɹɬɢɟɦ «ɛɚɡɨɜɵɣ ɨɛɪɚɡɟɰ» [6], «ɷɬɚɥɨɧɧɵɣ ɨɛɪɚɡɟɰ». ɗɬɨ ɨɛɭɫɥɨɜɥɟɧɨ ɬɟɦ, ɱɬɨ ɨ ɩɪɨɹɜɥɟɧɢɢ ɞɟɮɟɤɬɚ ɦɨɠɧɨ ɝɨɜɨɪɢɬɶ ɥɢɲɶ ɜ ɬɨɦ ɫɥɭ-ɱɚɟ, ɟɫɥɢ ɨɩɪɟɞɟɥɟɧɵ «ɛɚɡɨɜɵɟ», ɥɢɛɨ «ɷɬɚɥɨɧɧɵɟ» ɫɜɨɣɫɬɜɚ ɢɡɞɟɥɢɹ.Ɉɩɪɟɞɟɥɢɦ ɪɚɡɥɢɱɢɟ ɜ ɩɨɧɹɬɢɹɯ «ɛɚɡɨɜɵɟ» ɢ «ɷɬɚɥɨɧɧɵɟ» ɫɜɨɣɫɬɜɚ. Ȼɚɡɨɜɵɟ ɫɜɨɣɫɬɜɚ ɫɨɨɬɜɟɬɫɬɜɭɸɬ ɯɚɪɚɤɬɟɪɢɫɬɢɤɚɦ ɢɡɞɟɥɢɣ, ɩɪɟɞɫɬɚɜɥɟɧɧɵɦ ɜ ɨɮɢɰɢ-ɚɥɶɧɨ ɭɬɜɟɪɠɞɺɧɧɵɯ ɞɨɤɭɦɟɧɬɚɯ [6]. ɗɬɚɥɨɧɧɵɟ ɫɜɨɣɫɬɜɚ ɫɨɨɬɜɟɬɫɬɜɭɸɬ ɫɭɛɴɟɤɬɢɜɧɨɦɭ Ɉɧɬɨɥɨɝɢɹ ɩɪɨɟɤɬɢɪɨɜɚɧɢɹ ɬɨɦ ʋ4(22) ȼȿ Ƚɜɨɡɞɟɜ Ⱦȼ Ȼɥɢɧɨɜɚ ɅɊ ɑɟɪɧɹɯɨɜɫɤɚɹ ɩɪɟɞɫɬɚɜɥɟɧɢɸ ɨɬɞɟɥɶɧɨɝɨ ɫɭɛɴɟɤɬɚ ɨ ɠɟɥɚɟɦɵɯ ɫɜɨɣɫɬɜɚɯ ɢɡɞɟɥɢɹ, ɧɟ ɩɪɟɞɫɬɚɜɥɟɧɧɵɯ ɜ ɤɚɤɢɯ-ɥɢɛɨ ɨɮɢɰɢɚɥɶɧɵɯ ɞɨɤɭɦɟɧɬɚɯ.Ɉɞɧɢɦ ɢɡ ɨɫɧɨɜɧɵɯ ɩɨɧɹɬɢɣ ɭɩɪɚɜɥɟɧɢɹ ɤɚɱɟɫɬɜɨɦ ɨɛɴɟɤɬɨɜ ɹɜɥɹɸɬɫɹ ɩɨɧɹɬɢɹ: ɛɚɡɨɜɨɝɨ ɨɛɪɚɡɰɚ; ɛɚɡɨɜɵɯ ɡɧɚɱɟɧɢɣ ɩɨɤɚɡɚɬɟɥɟɣ ɤɚɱɟɫɬɜɚ, ɜ ɬɨɦ ɱɢɫɥɟ ɩɨɤɚɡɚɬɟɥɟɣ ɮɭɧɤɰɢɨɧɚɥɶɧɨɣ ɛɟɡɨɩɚɫɧɨɫɬɢ; ɨɩɪɟɞɟɥɟɧɢɟ ɞɨɩɭɫɬɢɦɵɯ ɨɬɤɥɨɧɟɧɢɣ ɩɨɤɚɡɚɬɟɥɟɣ ɨɬ ɛɚɡɨɜɵɯ [7]. ɗɬɨ, ɜ ɫɜɨɸ ɨɱɟɪɟɞɶ, ɫɨɡɞɚɺɬ ɨɫɧɨɜɭ ɧɨɪɦɢɪɨɜɚɧɢɹ ɬɪɭɞɨɺɦɤɨɫɬɢ ɦɟɪɨɩɪɢɹɬɢɣ, ɧɚɩɪɚɜɥɟɧɧɵɯ ɧɚ ɭɦ...

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This article describes the requirements for a decision support system which is designed to assess the quality of public services. Requirements for a decision support system are used as a starting point at its design stage and determine the functions of the developed system without showing the mechanism of its implementation. At the same time, the requirements serve as constraints in the process of system development. The set of the developed requirements for the decision support system includes basic, functional, non-functional and economic requirements. We propose to use the ontological approach in the development of requirements for the system. This allows us to solve a number of problems arising from the description of the requirements in natural language: the lack of exposition clarity, misrepresentation of the requirements and so on. The ontological model allows developers to interpret the requirements in the same way, to structure the specifi cation of requirements for the system and to eliminate blurring in their defi nitions. Ontological representation of knowledge about requirements for the developed system and about the system providing public services in general is used for the semantic integration of existing information resources, appropriate interpretation of the content of text documents and search queries presented in a natural language. The developed ontology improves the quality of user (stakeholder) interaction during the system operation. In addition, it includes rules for term combination to provide reliable assertions on the state of the decision support system.