Usnig LR-Fuzzy Numbers Data to Measure the Eciency and the Malmquist Productivity Index in Data Envelopment Analysis , and Its Application in Insurance Organizations

Publish Year: 1388
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:

JR_IJIM-1-1_006

تاریخ نمایه سازی: 27 دی 1402

Abstract:

In many real applications, the data of production processes can't be precisely measured.We develop some fuzzy versions of the classical DEA models (in particular, the CCRmodel) by using some ranking methods based on the comparison of cuts. Our approachescan be seen as an extension of the DEA methodology. The provides users and practitionerswith models which represent some real life processes more appropriately. DEA- basedMalmquist productivity index measures the productivity change over time. In this paperwe provide an extension to the DEA- based Malmquist productivity index for all DMUswith fuzzy data.

Authors

F Hosseinzadeh Lot

Dept. of Math. Science and Research Branch, Islamic Azad University, Tehran,Iran

A. A. Noora

Dept. of Math. Sistan and Balochestan University, Iran

H. Nikoomaram

Dept. of Management. Science and Research Branch,Islamic Azad University, Tehran,Iran

M. Alimardani

Dept. of Math. Tehran -North Branch,Islamic Azad University, Tehran,Iran

M Modi

Dept. of Math. Science and Research Branch,Islamic Azad University, Zahedan, Iran