Favored Target Setting using a Hybrid Fuzzy Goal Programming and Data Envelopment Analysis

Fuzzy Optimization and Modeling Journal

دوره 3، شماره 3، مهر 2022، صفحه 84-92   

نوع مقاله: Original Article

شناسه دیجیتال (DOI): 10.30495/fomj.2022.1971787.1080

نویسنده

Mojtaba Ghiyasi^*

Faculty of Industrial Engineering and Management Science, Shahrood University of Technology

چکیده

Data envelopment analysis (DEA) is a method to estimate a relative efficiency of decision making units (DMUs) performing similar tasks in a production system that consumes multiple inputs to produce multiple outputs. The original DEA model does not include a decision maker’s (DM’s) preference structure while measuring relative efficiency. Regarding to relationship between DEA and multiple objective linear programming (MOLP) this paper propose a method based on fuzzy goal programming to incorporate DM’s wishes in evaluation of DMUs then it analyzes the situations that the input-output levels of the estimated benchmark will not or may worsen. A compromised method is suggested that not only considers DM’s wishes in target setting but also improve the efficiency of DMUs while none of input-output levels deteriorate.

کلیدواژه‌ها

Data Envelopment Analysis؛ Goal Programming؛ Fuzzy Programming؛ Target Setting