In this work we briefly present the study results of the issue of accounting and implementation of specific mathematical tooling for non-economic characteristics in evaluating of projects’ effectiveness. There is established classification of events in which using of one or another mathematical apparatus during solving the question of accounting for non-economic characteristics can be observed. It is proposed to study the classification of non-economic characteristics easily formalized and difficult to formalize (parameters) that are used when assessing the effectiveness of projects. There is explained and recommended a certain mathematical tooling for the process of accounting for non-economic characteristics in the assessment on the basis of classification under description.
A search and analysis of sources (articles, conference materials, reviews) was conducted in the Web of Science Core Collection database from 1975 to March 2018 time period (57 sources) and in the RSCI database to March 2018 (48 sources) on the matter of using and recommendations of certain mathematical tooling in assessing the effectiveness of investment projects, taking into account noneconomic characteristics. These 45 cases were identified in 41 sources of mathematical methods application in accounting for noneconomic characteristics in the process of assessing the effectiveness of investment projects, their advantages and disadvantages. The recommendations on accounting for easily formalized non-economic indicators in evaluating project effectiveness were developed. Criteria have been established for classifying methods for taking into account non-economic characteristics as those that with a high degree of probability can do this in the value (money) scale. A mathematical tooling is proposed for taking into account difficultly formalized noneconomic characteristics in the assessment.
<p class="zhengwen"><span lang="EN-US">The new concept of evaluating the effectiveness of investment projects is offered. A dynamic multi-factor complex of private parameters of investment projects' evaluation in engineering and their classification is developed. The recommendations of global and locally-oriented destination are worked out. The foundation for the application of fuzzy set theory in the evaluation of investment projects has been laid.</span></p>
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