usnig lr-fuzzy numbers data to measure the eciency and the malmquist productivity index in data envelopment analysis , and its application in insurance organizations

نویسندگان

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

چکیده

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.

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

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 mo...

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usnig lr-fuzzy numbers data to measure the eciency and the malmquist productivity index in data envelopment analysis , and its application in insurance organizations

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 mo...

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

F. Hosseinzadeh Lot a, A. A. Noora b, H. Nikoomaram c, M. Alimardani d , M. Modi e (a) Dept. of Math. Science and Research Branch, Islamic Azad University, Tehran,Iran. (b) Dept. of Math. Sistan and Balochestan University, Iran, (c) Dept. of Management. Science and Research Branch,Islamic Azad University, Tehran,Iran. (d) Dept. of Math. Tehran -North Branch,Islamic Azad University, Tehran,Iran,...

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15 صفحه اول

Entropy based Malmquist Productivity Index in Data Envelopment Analysis

Malmquist Productivity Index (MPI) is one of the most famous indices, which is used for estimating the productivity change of a Decision Making Unit (DMU) during the time. Virtually any empirical study that uses MPI, reports average of the productivity indices they estimate to represent the overall tendency in productivity changes. In such a case, productivity indices of a DMU are considered wi...

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عنوان ژورنال:
international journal of industrial mathematics

جلد ۱، شماره ۱، صفحات ۵۵-۶۸

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