Traditional DEA models deal with measurements of relative eciency ofDMUs regarding multiple - inputs VS. multiple-outputs. One of the drawbacksof these model is the neglect of intermediate products or linkong activities. Af-ter pointing out needs for inclusion of them to DEA models. We propose hybridmodel that can deal with intermediate products formally using this model wecan evaluate division...

In this study, two hybrid approaches based on seasonal decomposition and least squares support vector regression (LSSVR) model are proposed for short-term forecasting of air passenger. In the formulation of the proposed hybrid approaches, the air passenger time series is first decomposed into three components: trend-cycle component, seasonal factor and irregular component. Then the LSSVR model ...

Forecasting stock market has been a difficult job for applied researchers owing to nature of facts which is very noisy and time varying. However, this hypothesis has been featured by several empirical experiential studies and a number of researchers have efficiently applied machine learning techniques to forecast stock market. This paper studied stock prediction for the use of investors. It is ...

During recent years, the fabrics made from different yarns have been used for industrial purposes such as composite materials. Given the importance of the shear properties of these fabrics, a mechanical model based on the Grosberg and Park's Model for hybrid plain-woven fabrics is proposed. In this model, using the Energy method, the initial load-shear angle behavior of hybrid fabrics is calcul...

A new hybrid-model for BCI probe is derived . This model is built based on the probe's internal structure without refinements, and by carrying out just one electrical measurement for the reflection coefficient, so that it can be generalized and used in studying the effect of layout parameters in the aim of improving the probe high frequency performance, which helps the developer in design stage...

In recent decade, the new advanced nanofluids, composed from various particles, have attracted the attention of researchers. This class of nanofluids, which can be prepared by suspending several types (two or more than two) of nanoparticles in base fluid, is termed as hybrid nanofluids. In this work, an experimental investigation on the effects of temperature and concentration of nanoparticles ...

This paper proposes a mixed integer programming model to solve a non-identical parallel machine (NIPM) scheduling with sequence-dependent set-up times and human resiliency engineering. The presented mathematical model is formulated to consider human factors including Learning, Teamwork and Awareness. Moreover, processing time of jobs are assumed to be non-deterministic and dependent to their st...

The method of generalized estimating equations (GEEs) provides consistent estimates of the regression parameters in a marginal regression model for longitudinal data, even when the working correlation model is misspecified (Liang and Zeger, 1986). However, the efficiency of a GEE estimate can be seriously affected by the choice of the working correlation model. This study addresses this problem...