مقاله انگلیسی رایگان در مورد محاسبات فازی عملکرد آموزش بر اساس روش تحلیل پوششی داده ها – الزویر ۲۰۱۸

Data mining has been widely applied in various fields [12-14], among them, data Envelopment Analysis (DEA) is a system analysis method. It is suitable for evaluating the relative efficiency of Decision Making Units (DMU) with multiple input and output indicators, which is subject to no dimensional form of data and does not need to set the parameters. Therefore, it is widely used in multiple research fields, such as evaluation of resource utilization efficiency [1], performance evaluation [2-3] of institutions of higher learning, environmental performance evaluation [4] and node importance ranking [5] in social network. Many scholars have also proposed a variety of derived forms of DEA based on specific research scenarios, such as rough DEA [6] and fuzzy DEA [7-8]. This paper discusses the application of fuzzy DEA-CCR model in the teaching performance evaluation of subordinate colleges of the university through examples. In the traditional DEA model, input and output values are accurate. In reality, however, input or output values tend to be uncertain, such as the measurement of reputation and satisfaction of DMU, etc. The introduction of fuzzy theory can well solve the problem of fuzzy numbers in input or output. The commonly used fuzzy numbers include triangular fuzzy numbers and trapezoid fuzzy numbers. The triangular fuzzy numbers can be regarded as the special case of trapezoid fuzzy numbers, which are expressed in this paper as . Where, 1, 2 and 3 represent the lower limit value, principal value and upper limit value of , respectively. In the fuzzy number set, these three values are not equal at the same time.