Author/Authors :
Hosseinzadeh Lotfi، F نويسنده Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, Iran , , Noora، A.A نويسنده Dept. of Math. Sistan and Balochestan University,Iran , , Nikoomaram، H نويسنده Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, Iran. , , Alimardani، M نويسنده Dept. of Math. Tehran -North Branch,Islamic Azad University, Tehran,Iran , , Modi، M نويسنده Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, Iran ,
Abstract :
In many real applications, the data of production processes canʹt be precisely measured.
We develop some fuzzy versions of the classical DEA models (in particular, the CCR
model) by using some ranking methods based on the comparison of cuts. Our approaches
can be seen as an extension of the DEA methodology. The provides users and practitioners
with models which represent some real life processes more appropriately. DEA- based
Malmquist productivity index measures the productivity change over time. In this paper
we provide an extension to the DEA- based Malmquist productivity index for all DMUs
with fuzzy data
