Estimating Most Productive Scale Size of the provinces of Iran in the Employment sector using Interval data in Imprecise Data Envelopment Analysis(IDEA)

Subject Areas : International Journal of Data Envelopment Analysis

Mohammad  Khodabakhshi ¹ (Department of Mathematics, Faculty of Science, shahied Beheshti University,Tehran,Iran)
saeed  papi ² (Department of Mathematics, Faculty of Science, Lorestan University, Khorramabad,Iran)
reza  fallahnejad ³ (Department of mathematics, Khorramabad branch, Islamic Azad university, Iran)
Masoume  Yazdanpanah Maryaki ⁴ (Department of Mathematics, Lahijan Branch, Islamic Azad University, Lahijan, Iran.)

Received: 2017-02-21 Accepted : 2017-08-14 Published : 2017-10-01

Keywords: Interval data, Efficiency, Data Envelopment Analysis, : Employment, Most productive scale size (MPSS),

Abstract :

Unemployment is one of the most important economic problems in Iran, so that many of its managers plan to increase employment rates. Increasing the employment rate needs to increase economic productivity which DEA is one of the most appropriate evaluation methods for estimating the productivity of similar organizations. Employment in the amount of data input and output can be just interval. In this study by solving two models, using one of which the upper bound for efficiency and using the other, the lower bound for decision making units efficiency is acquired, we provide a new model for Most productive scale size with interval data. The main purpose of this study is to determine the productivity of Iran and sensitive indicators to provide a fundamental solution to exit from unemployment. The economic sector managers can do more exact planning for economic growth.

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