TY - JOUR ID - 43056 TI - Analysis of Multi Attribute Decision Making Problems by Using of Data Envelopment Analysis Technique JO - Journal of Applied Research on Industrial Engineering JA - JARIE LA - en SN - 2538-5100 AU - Nasrollahi-Sebdani, Saeid AU - Esmaelian, Majid AU - Mohamadi-Zanjirani, Daryush AD - Department of Industrial Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran AD - Department of Management, Isfahan University, Isfahan, Iran Y1 - 2014 PY - 2014 VL - 1 IS - 4 SP - 198 EP - 207 KW - Data Envelopment Analysis KW - Multi attribute decision making KW - Efficiency DO - N2 - Data Envelopment Analysis (DEA) is used for calculating of relative efficiency and then ranking of decision making units (DMU) subject to inputs and outputs in a continuous decision making   space. In this paper, DEA models, Cook and Kress Model and Belton-Vickers model have been applied as a multi attribute decision making (MADM) tool and compared analytically to other MADM models such as simple additive weighted (SAW) and technique for order preference by similarity to ideal solution (TOPSIS). For this purpose, after simulating some decision making matrixes and replacing DMU with alternatives, outputs with criteria to be maximized, inputs with criteria to be minimized, alternatives will be ranked by these models. The results of this study show that incorporating decision maker value judgments into the DEA models (restricted DEA models) provide comparable results to traditional MADM models (such as SAW and TOPSIS that are applied more than others). So, restricted DEA models seem to be an advantageous tool for solving MADM problems. UR - https://www.journal-aprie.com/article_43056.html L1 - https://www.journal-aprie.com/article_43056_de8e28674330d8749352b45b1fd15212.pdf ER -