DEA models in the presence of undesirable inputs
محل انتشار: نهمین کنفرانس ملی تحلیل پوششی داده ها
سال انتشار: 1396
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 620
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شناسه ملی سند علمی:
DEA09_004
تاریخ نمایه سازی: 8 آذر 1396
چکیده مقاله:
Data Envelopment Analysis (DEA) models with undesirable inputs and outputs have been frequently discussed in DEA literature, e.g., via data transformation. These studies were scatted in the literature, and often confined to some particular applications. In this paper we present a systematic investigation on model building of DEA without transferring undesirable data. We first describe the disposability assumptions and a number of different performance measures in the presence of undesirable inputs and outputs, and then discuss different combinations of the disposability assumptions and the metrics. This approach leads to a unified presentation of several classes of DEA models with undesirable inputs.
کلیدواژه ها:
Data Envelopment Analysis Undesirable inputs and Measures of Efficiency
نویسندگان
Abbasali Monzeli
PHD student of Math, Central Tehran Branch, Islamic Azad University, Iran.
Qassem Tohidi
Department of Mathematics, Central Tehran Branch, The Islamic Azad University, Iran