A Novel Ranking Method Based on Uncertain DEA Model
سال انتشار: 1400
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 807
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شناسه ملی سند علمی:
CSIEM02_806
تاریخ نمایه سازی: 27 تیر 1400
چکیده مقاله:
Proposing a full ranking method to rank all the homogeneous decision-making units (DMUs) is one of the important issues in data envelopment analysis (DEA) field. It should be noted that one of the main challenges in using traditional ranking approaches to realworld applications is the presence of noise and uncertainty in some of the input/output data of DMUs. Thus, in this paper, the novel ranking method for DMUs under uncertain environment is presented. using DEA method, super efficiency technique, and uncertainty theory. Moreover, validation and verification of the proposed uncertain super-efficiency data envelopment analysis (USEDEA) modelis illustrated by applying a numerical example.
کلیدواژه ها:
نویسندگان
Pejman Peykani
School of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
Donya Rahmani
Department of Industrial Engineering, K. N. Toosi University of Technology, Tehran, Iran
Jafar Gheidar-Kheljani
Management and Industrial Engineering Department, Malek Ashtar University of Technology, Tehran, Iran
Armin Jabbarzadeh
Department of Automated Production Engineering, École de Technologie Supérieure (ETS), Montreal, Canada
Mohammad Hossein Karimi Gavareshki
School of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran