سال انتشار: ۱۳۸۹

محل انتشار: سومین همایش ملی مهندسی کامپیوتر و فناوری اطلاعات

تعداد صفحات: ۷

نویسنده(ها):

Parna Iman Nezhad – Department of Control Engineering Shiraz University, Iran East electrical energy economics research group
Ali Karimpour – Department of Control Engineering Shiraz University, Iran East electrical energy economics research group

چکیده:

In recent years engineering and construction industry faces formidable challenges in control project and optimization of management decision making. The requirements and challenges of today’s world have made managers to explore new methods in dealing with solving management problems, methods with high flexibility, which can adopt plans to real conditions can help one to make a decision at right time. This paper proposes a new method to obtain the optimal solution in construction environment with uncertainty and dynamic. Since linear programming is the most natural mechanism for formulating a vast array of problems with the modest effort, we use fuzzy linear programming and Matlab computation to solve this problem. In this research, we are modeling uncertainty and dynamic of engineering and construction industry with fuzzy theory. The considerable ratio of data about uncertainties is linguistic data and cannot be formulated with classical mathematics, so we use fuzzy theory for the computational model of the linguistic term of expert. After preparation of the dynamic fuzzy linear programming model (DFLP) we solve the optimization problem. Dynamics of the DFLP model able the system to provide decision making in environmental changes.