New product selection using fuzzy linear programming and fuzzy Monte Carlo simulation


Uçal Sarı İ., Kahraman C.

14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2012, Catania, Italy, 9 - 13 July 2012, vol.300 CCIS, pp.441-448 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 300 CCIS
  • Doi Number: 10.1007/978-3-642-31724-8_46
  • City: Catania
  • Country: Italy
  • Page Numbers: pp.441-448
  • Keywords: Capital Budgeting, Fuzzy Monte Carlo Simulation Method, Linear Programming
  • Istanbul Technical University Affiliated: Yes

Abstract

Investment decisions are important due to their critical role in organizations' success. Sometimes, especially in uncertain conditions the results obtained from traditional analysis techniques can be different from the real world results. Due to this fact the techniques that take uncertainty into account are preferred in investment analysis to aware of the effect of an uncertain environment. In this paper, fuzzy Monte Carlo simulation method is used to determine the best investment strategy on new product selection for an organization in the condition when the fuzzy net present value is not the only point of concern for decision making. © 2012 Springer-Verlag.