In this paper, an Adaptive-Network-based Fuzzy Inference System (ANFIS) is used for forecasting of natural gas consumption. It is clear that natural gas consumption prediction for future, surly can help Statesmen to decide more certain. There are many variables which effect on gas consumption but two variables that named Gross Domestic Product (GDP) and population, are selected as two input var...

Proposed methods for prediction interval estimation focus on cases where input variables are numerical. Since categorical input variables can also be represented using numerical variables, such methods are applicable to most datasets. We propose a new prediction interval estimation method tailored for datasets with nominal input variables. This method has two main phases: I) modeling the output...

This paper presents a deterministic approach for performance assessment of different province’s road safety level at Iran. A data envelopment analysis (DEA) model considering undesirable input and output indices and a multivariate statistical method, principle component analysis (PCA) are used in this paper, while previous studies do not use composite PCA-DEA method and undesirable input and ou...

in this study the wavelet neural network (wnn) and artificial neural network (ann) were used to simulate barley breakage percentage in combine harvester. the models have been trained using the same data conditions. air temperature, thresher cylinder speed, distance between thresher cylinder and concave (back and forth) and the percentage of barely moisture were as the input variables. the resul...

In conventional DEA, measures are classified as either input or output. However, in some real cases there are variables whose status is not known as input or output before assessment. These variable are known as flexible measures. One of the most important economic dimensions for ensuring the success of a company is the efficiency with which it uses its resources. Therefore, centering on Asses...

introduction: due to increased costs of health sector, much effort has been done to compare the performance of hospitals and measure their efficiency in recent years. the purpose of this study was to evaluate the relative efficiency of public and private hospitals in qom during 2007 using data envelopment analysis (dea) approach. methods: this was an applied and analytic study. the study popula...

In this study, a more accurate model of fuel cell of molten carbonate was also used that was determined input and output control variables and investigated the behavior of the system with respect to those variables. A more complete kinetic is also implemented for increasing the effectiveness of the presented paper. The input variables include fuel flow rate of cell which is methane and cell vol...

Variable selection serves a dual purpose in statistical classification problems: it enables one to identify the input variables which separate the groups well, and a classification rule based on these variables frequently has a lower error rate than the rule based on all the input variables. Kernel Fisher discriminant analysis (KFDA) is a recently proposed powerful classification procedure, fre...