CASPIAN JOURNAL
MANAGEMENT AND HIGH TECHNOLOGIES
The complex quantitative estimation of innovative it-projects based on fuzzy-multiple descriptions
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Read | Chertina E.V., Kvyatkovskaya I.Yu. The complex quantitative estimation of innovative it-projects based on fuzzy-multiple descriptions // Caspian journal : management and high technologies. — 2016. — №1. — pp. 50-62. |
Chertina E.V. - post-graduate student, Astrakhan State Technical University, 16 Tatishchev St., Astrakhan, 414056, Russian Federation, saprikinae_1912@mail.ru
Kvyatkovskaya I.Yu. - D.Sc. (Engineering), Professor, Astrakhan State Technical University, 16 Tatishchev St., Astrakhan, 414056, Russian Federation, i.kvyatkovskaya@astu.org
The complex quantitative estimation algorithm of the IT-project based on using theory methods of indistinct sets for transformation in experts’ hardly formalized judgments to a quantitative form is considered. Authors have presented criteria system for project estimation in the form of hierarchical structure that allows considering in more detail interrelations between her elements. The technique defines the scales definition of influence for criteria within the allocated groups of basic criteria with using of method of pair comparisons. The coherence analysis of expert judgments is offered to be carried out as at a stage creation of pair’s matrix comparisons, and at a stage of receiving expert estimates. For developed algorithm, the settlement example of expert application and indistinct and multiple methods for definition of an integrated quantitative assessment of the project is given. Then this assessment «is distinguished» on a linguistic scale of investment appeal. This technique can be used by venture funds for the analysis, an assessment and selection of innovative IT-projects with the purpose of their realization.
Key words: инновационный ИТ-проект, нечетко-множественное описание экспертных суждений, матрица парных сравнений, лингвистическая оценка критериев, оценка согласованности экспертных суждений, интегральный показатель оценки, уровень инвестиционной привлекательности И