On inverse data envelopment analysis under weight restrictions
محورهای موضوعی : Operations Research
Mehrab Esmaeili
1
(Department of Mathematics, Shahrekord Branch, Islamic Azad University, Shahrekord, Iran.)
کلید واژه: Multi-objective linear programming, Pareto solution, Inverse problem, Sensitivity,
چکیده مقاله :
In this paper we discuss the inverse data envelopment analysis(DEA) under weight restrictions. For this task we answer suchquestions: In a system of decision making units (DMUs) underevaluation, in the presence of weight restrictions, if a unitchanges some of its input (output) levels, to what extent shouldthe unit change outputs (inputs) such that its efficiency indexremains unchanged? We treat them as inverse data envelopmentanalysis problems under weight restrictions and propose a methodto answer such questions based on data envelopment analysis andmulti-objective linear programming (MOLP).
In this paper we discuss the inverse data envelopment analysis(DEA) under weight restrictions. For this task we answer suchquestions: In a system of decision making units (DMUs) underevaluation, in the presence of weight restrictions, if a unitchanges some of its input (output) levels, to what extent shouldthe unit change outputs (inputs) such that its efficiency indexremains unchanged? We treat them as inverse data envelopmentanalysis problems under weight restrictions and propose a methodto answer such questions based on data envelopment analysis andmulti-objective linear programming (MOLP).
