abstract the existence of various perceptions related to the efficiency of water use in agricultural sector can hamper the development of appropriate water resource conservation policies. particularly, when there has been an emphasis on increasing water use efficiency by improvement in irrigation systems. the main purpose of current study is to estimate excess water use for a sample of 15 farms...

The classification of fuzzy uncertain data is considered one of the most challenging issues in data analysis. In spite of the significance of fuzzy data in mathematical programming, the development of the analytical methods of fuzzy data is slow. Therefore, the current study proposes a new fuzzy data classification method based on fuzzy data envelopment analysis (DEA) which can handle strea...

The purpose of this study is to evaluate the efficiency indices for 60 Brazilian electricity distribution utilities. These scores are obtained by DEA Data Envelopment Analysis and Bayesian Stochastic Frontier Analysis models, two techniques that can reduce the information asymmetry and improve the regulator’s skill to compare the performance of the utilities, a fundamental aspect in incentive r...

Most, if not all, production technologies are stochastic. This article demonstrates how data envelopment analysis (DEA) methods can be adapted to accommodate stochastic elements in a state-contingent setting. Specifically, we show how observations on a random input, not under the control of the producer and not known at the time that variable input decisions are made, can be used to partition t...