Title :
On the new multistage Fuzzy Technology to Investment Decisions
Author :
Sirbiladze, Gia ; Khutsishvili, Irina ; Ghvaberidze, Bezhan
Author_Institution :
Dept. of Comput. Sci., Iv.Javakhishvili Tbilisi State Univ., Tbilisi, Georgia
Abstract :
This article proposes a novel Fuzzy Technology to support the Investment Decisions. While choosing among competitive investment projects, this technology provides the selection of projects with minimal crediting risks, makes ranking of chosen projects and then allows to optimally allocate investment amounts between several of them. The technology combines two fuzzy-statistical methods and solution of bicriteria discrete optimization problem, providing three stages of investment projects´ evaluation.
Keywords :
decision making; financial management; fuzzy set theory; investment; optimisation; project management; risk management; statistical analysis; bicriteria discrete optimization problem; competitive investment project evaluation; fuzzy-statistical methods; investment decisions; minimal credit risk project ranking; multistage fuzzy technology; optimal investment allocation; Aggregates; Computers; Decision making; Educational institutions; Investments; Optimization; Uncertainty; Investment project risks; bicriteria discrete optimization problem; expert estimates; experton; positive and negative measures of discrimination; possibility distribution;
Conference_Titel :
Application of Information and Communication Technologies (AICT), 2012 6th International Conference on
Conference_Location :
Tbilisi
Print_ISBN :
978-1-4673-1739-9
DOI :
10.1109/ICAICT.2012.6398510
