Volume 23, Issue 1 (IJIEPR 2012)                   IJIEPR 2012, 23(1): 45-52 | Back to browse issues page

XML Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Moradi B, Shakeri H, NamdarZangeneh S. Solving the Paradox of Multiple IRR's in Engineering Economic Problems by Choosing an Optimal -cut. IJIEPR 2012; 23 (1) :45-52
URL: http://ijiepr.iust.ac.ir/article-1-412-en.html
Solving the Paradox of Multiple IRR's in Engineering Economic Problems by Choosing an Optimal -cut
B. Moradi1 , H. Shakeri2 , S. NamdarZangeneh 3
1- Alzahra University
2- Amirkabir University of Technology
3- Faculty member of Industrial Engineering Department, Alzahra University , szangeneh@alzahra.ac.ir
Abstract:   (17421 Views)
Until now single values of IRR are traditionally used to estimate the time value of cash flows. Since uncertainty exists in estimating cost data, the resulting decision may not be reliable. The most commonly cited drawbacks to using the internal rate of return in evaluatton of deterministic cash flow streams is the possibility of multiple conflicting internal rates of return. In this paper we present a fuzzy methodology for solving problems of multiple IRR in any type of streams. Utilization of fuzzy cash flow allows modeling of uncertainty in estimating cost data. The approach of

-cut is to decrease the range of the final fuzzy set by increasing the degree of membership. For each fuzzy IRR in an optimum -cut, and an obtained present value of each stream, it is possible to decide on acceptance or rejection of a project according to the type of each stream (borrowing or investing). The upper bound of -cut is the worst case for borrowing and the lower bound of -cut is the worst case for investing. It is shown that both the internal rate of return and the present value are important in decision making and by analyzing the sensitivity of these values relative to the -cut variation, one can see the behavior of the project and choose a narrower fuzzy range.

Keywords: Internal Rate of Return, Uncertainty, Fuzzy numbers, Borrowing or Investing in a project
Full-Text [PDF 732 kb]   (5001 Downloads)    
Type of Study: Research | Subject: Other Related Subject
Received: 2012/03/3 | Published: 2012/03/15
Add your comments about this article : Your username or Email:
CAPTCHA
Send email to the article author

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.