The data envelopment analysis (DEA), which is based on mathematical programming, employed to measure the relative efficiency of several homogeneous decision-making units (DMUs) with multiple inputs and outputs. There has been extensive research developing classical DEA models for various forms conditions. For example, ranking such as cross have proposed address shortcomings initial basic models...

In this paper, we present PICPA, the “Population and Interval Constraint Propagation Algorithm” which is able to produce high quality approximate solutions while giving guaranteed bounds for the Pareto optimal front. These bounds allow us to know whether the heuristic solutions are close to or far away from the optimal front. PICPA combines “Interval Constraint Propagation” (ICP) techniques [1,...

The study was carried out at Agarfa ATVET College dairy farm to evaluate the reproductive performance of Holstein Friesian× Arsi and Holstein Friesian ×Boran cattle. For the study, records compiled from 1983 to 2012 at the Agarfa dairy farm were used as original data. The effects of breed, bloodlines, season and parity on the reproductive traits were evaluated. Data were analyzed using the gene...

the study was carried out at agarfa atvet college dairy farm to evaluate the reproductive performance of holstein friesian× arsi and holstein friesian ×boran cattle. for the study, records compiled from 1983 to 2012 at the agarfa dairy farm were used as original data. the effects of breed, bloodlines, season and parity on the reproductive traits were evaluated. data were analyzed using the gene...

Uncertain data is an increasingly prevalent topic in database research, given the advance of instruments which inherently generate uncertainty in their data. In particular, the problem of indexing uncertain data for range queries has received considerable attention. To efficiently process range queries, existing approaches mainly focus on reducing the number of disk I/Os. However, due to the in...