On inverse data envelopment analysis under weight restrictions

Theory of Approximation and Applications

مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 20 مهر 1401

نوع مقاله: Research Articles

نویسنده

Mehrab Esmaeili^*

IAU of Shahrekord

چکیده

In this paper we discuss the inverse data envelopment analysis
(DEA) under weight restrictions. For this task we answer such
questions: In a system of decision making units (DMUs) under
evaluation, in the presence of weight restrictions, if a unit
changes some of its input (output) levels, to what extent should
the unit change outputs (inputs) such that its efficiency index
remains unchanged? We treat them as inverse data envelopment
analysis problems under weight restrictions and propose a method
to answer such questions based on data envelopment analysis and
multi-objective linear programming (MOLP).

کلیدواژه‌ها

Inverse problem؛ Multi-objective linear programming؛ Sensitivity؛ Pareto solution