سال انتشار: ۱۳۸۰

محل انتشار: اولین کنفرانس ملی مهندسی صنایع

تعداد صفحات: ۱۹

نویسنده(ها):

SAATI M – Department of Mathematics, Tehran-North Branch, Islamic Azad University, Tehran, Iran
MEMARIANI – Department of Industrial Engineering, Tarbiat Modarres University, Tehran, Iran
JAHANSHAHLOO – Department of Mathematics, Teacher Training University, Tehran, Iran

چکیده:

Data Envelopment Analysis (DEA) is a mathematical programming approach for assessing relative efficiencies within a group of Decision Making Units (DMUs). An important outcome of such an analysis is a set of virtual multipliers or weights accorded to each (input or output) factor
taken into account. These sets of weights are, typically, different for each of the participating DMUs, and in some cases it may be considered unacceptable that the same factor is accorded widely differing weights. Thus, it is important to find a Common Set of Weights (CSW) across the set of DMUs. In this paper, a procedure is suggested to find a CSW in fuzzy DEA. In this procedure, by assessing upper bounds on factor weights, the weight flexibility is restricted. Then, a CSW is determined by compacting these intervals. Since resulted efficiencies by the
proposed CSW are fuzzy numbers rather than crisp values, it is more useful for decision maker. To demonstrate the concept, a numerical example is solved.