Fuzzy congestion in data envelopment analysis

Abstract

Congestion is an important aspect of economic concepts and data envelopment analysis (DEA) such that in recent years, special attention has been for mathematicians.  Several models and methods have been proposed for measuring congestion in non-deterministic environment which cannot show inexact congestion.  More important, the congestion is less been investigated with imprecise data which a comprehensive model has not been presented yet.  In this paper, our aim is to introduce extension of measuring congestion in DEA with common set of weights and fuzzy inputs and outputs such that, comparisons in models are fuzzy.  Finally the proposed models for fuzzy congestion will be shown by examples.