Fuzzy Cognitive Model of Flows of Receipt of Funds from Investment Projects

Bizyanov Yevgenii Y. () and Glinska Tetyana S.
Additional contact information
Bizyanov Yevgenii Y.: Donbas State Technical University
Glinska Tetyana S.: Donbas State Technical University

Business Inform, 2013, issue 10, 97_101

Abstract: The goal of the article is development of methods of building up a fuzzy cognitive model of flows of receipt of funds from realisation of investment projects. In the result of analysis of existing methods and models of assessment of investment projects the article finds out that one of the problems is forecasting benefits expected from them (profit, saving). The article shows that forecasting of outgoing flows of investment projects is characterised with uncertainty and subjectivity of original data, which results in the necessity to use models and methods that use fuzzy logic. The article offers methods of building up a fuzzy cognitive model, the essence of which lie in a transition from linguistic description of the data domain to the cognitive model with further allocation of fuzzy dependencies between the data domain objects (model concepts and which ends with mathematical description of these dependencies. Such an approach allows reduction of the subjective component in assessment of investment projects and making the process of their assessment more transparent. The article also gives an example of realisation of a fuzzy cognitive model for assessment of an investment project of development of the coal mining enterprise, which illustrates a practical application of the methods.

Keywords: investment project; flows of funds; fuzzy logic; cognitive model (search for similar items in EconPapers)
Date: 2013
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.business-inform.net/pdf/2013/10_0/97_101.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:idp:bizinf:y:2013:i:10:p:97_101

Access Statistics for this article

Business Inform is currently edited by Ponomarenko Vladimir S.

More articles in Business Inform from RESEARCH CENTRE FOR INDUSTRIAL DEVELOPMENT PROBLEMS of NAS (KHARKIV, UKRAINE), Kharkiv National University of Economics
Bibliographic data for series maintained by Khaustova Viktoriia ().