سال انتشار: ۱۳۸۵

محل انتشار: کنفرانس بین المللی استراتژیها و تکنیکهای حل مسئله

تعداد صفحات: ۱۳

نویسنده(ها):

A. Amlah – Group of Metallurgy and Material, Graduate School, Tehran South Unit, Islamic Azad University,
N. Towhidi – Department of Material and Metallurgy Engineering, Faculty of Engineering, University of Tehran
R. Tavakkoli-Moghaddam – Department of Industrial Engineering, Faculty of Engineering, University of Tehran, Tehran, Iran

چکیده:

In the last three decades in Iran, a number of different metallurgical plants in various sizes is proposed by private and public sectors to produce specific metals such as Fe, Mn, Al, Cu, Au, Mo, Zn, and Pb. The decision to select some of the above-mentioned metals in Iran is not based on correct data and logical methods. As a result of these limitations, some of these plans are not sophisticated. The modeling strategy based on the application of the fuzzy logic is introduced to provide a powerful and efficient method for the estimation and forecasting. The procedure is particularly suitable for the estimation of ill-defined systems in which there is considerable uncertainty about the nature and range of key input variables. This theory defines a membership function varying between 0 and 1. This paper is to rank a strategic degree of all produced metals (eg., Fe, Mn, Al, Cu, Au, Cr, Zn, and Pb) in Iran by the fuzzy logic theory. This method is a general key to solve a number of problems such as selecting appropriate metal production, developing the existing metal plants, and ranking the produced strategic metals and the like. Based on the fuzzy logic theory, available data can develop the installed plants or can produce a new metal, material, and so on. By the use of this fuzzy logic theory, the realistic and best solution is achieved in which it is applicable to most Iranian industries.