abstract due to limited water resources and occurrence of recent droughts, the use of new management and planning methods for optimal irrigation scheduling of agricultural crops is inevitable. present of appropriate mathematical and dynamic relationship between yield, evapotranspiration and water use efficiency parameters is the first and most important step in the optimal management of irrigat...

prophet of pou1f1 (prop1) plays direct or indirect important roles in the morphogenesis of pituitary gonadotropes as well as lactotropes, somatotropes and caudomedial thyrotropes. it also controls the expression of growth hormone, prolactin and thyrotropin subunits through regulatory pit1 factor. these hormones have important influences on production traits in most animal species including the ...

This paper presents an analysis of technical efficiency and technology gap ratio (TGR) in greenhouse cucumber in Fars Province, Iran. Cucumber production was chosen for this study for the reason that greenhouse productions in this provincemainly have focused on this product. The data used in this study was obtained from a random sample of 127 greenhouses in Fars Province for 2010 to 2011. Metaf...

examining the impacts of data modification is considered as sensitivity analysis. a lot of studies have considered the data modification of inputs and outputs in dea. the issues which has not heretofore been considered in dea sensitivity analysis is modification in the number of inputs and (or) outputs and determining the impacts of this modification in the status of efficiency of dmus. this pa...

this paper introduces discretionary imprecise data in data envelopment analysis (dea) and discusses the efficiency evaluation of decision making units (dmus) with non-discretionary imprecise data. then, suggests a method for evaluation the efficiency of dmus with non-discretionary imprecise data. when some inputs and outputs are imprecise and non-discretionary, the dea model becomes non-linear ...

The automatic inductive learning of production rules in a classiication environment is a diicult process which requires several considerations and techniques to be studied. This is more noticeable when the learning process is applied to real world domains. Our goal is to focus and study some of the most important problems related to the automatic learning of production rules as well as to provi...

The growing awareness on the multiple environmental impacts of livestock production has risen the necessity to widen the definition of efficiency to a multidimensional eco-efficiency concept. Our paper suggests a combined approach of a whole-farm agronomic model and frontier efficiency method to explore deeply the determinants of eco-efficiency. The whole-farm model used, GAMEDE, is randomly pa...

In the process of production, some of the inputs are fixed and cannot easily be changed, such as work hours of workers and hours of administrative or work, these types of inputs are fixed and others are variables. In this paper, by considering some inputs or outputs which are limited, their amounts must be integrated; this concept for integer data is extended. We show the importance of subject ...

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...

Data Envelopment Analysis (DEA) is a nonparametric approach for measuring the relative efficiency of a decision making units consists of multiple inputs and outputs. In all standard DEA models semi positive real valued measures are assumed, while in some real cases inputs and outputs may take complex valued. The question is related to measuring efficiency in such cases. As far as we are aware, ...