ارايه روش شبيه سازي تبريد فازي بر پايه مدل برنامه ريزي شانس براي مسايل بودجه بندي

Fuzzy Simulated Annealing Model for Solving Chance Constrained Capital Budgeting Problem

With the existence of ambiguity in the financial processes of projects, fuzzy concepts are being implemented into the foundation and essence of the current article. Authors have employed chance constrained programming and simulated annealing as appropriate tools for determining the net present worth value of several projects. At the end, the most economical project was chosen. In this article, the investment expenses and annual net financial processes are considered fuzzy taking the credibility definition into consideration. The proposed model is then solved by simulated annealing program and to check its credibility we have compared the results of our model with the results obtained by the Genetic Algorithm as well as the Branch and Bound routine. The results indicate that for small sized problems, Genetic Algorithm has worked relatively with less error amounts and produces better results. All developed algorithms such as simulated annealing and fuzzy simulation are coded in MATLAB R2009a environment and on the personal computer with266GHZ.