in this study, several data-driven techniques including system identification, adaptive neuro-fuzzy inference system (anfis), artificial neural network (ann) and wavelet-artificial neural network (wavelet-ann) models were applied to model rainfall-runoff (rr) relationship. for this purpose, the daily stream flow time series of hydrometric station of hajighoshan on gorgan river and the daily rai...

a numerical framework has been proposed to model the interacting effects of mixture non-ideality and mass transfer on hydrodynamics of a multiphase system using cfd methods.mass transfer during condensation and vaporization is modeled by chemical potential at the liquid-vapor interface. species mass transfers are related to the diffusion at the interface which in turn is related to the concentr...

suitable supplier selection is the most important factor in supplier chain management; so that correct decisions in this phase, caused to reduce costs, make permanent relationship with suppliers and strong competitive strategy in market. in this paper, by reviewing the past articles, important related criteria found and then weighting of criteria and evaluation of alternatives were done with fu...

The paper proposes a new architecture for a sensor with data fusion and internal model estimators. Fuzzy logic is used as an effective tool for data processing. The fusion process of information conducts to the improvement of the measurements accuracy. We focused our attention on industrial systems, implemented with such sensors and we discussed on limits and perspective of these techniques. Ke...

The paper is a contribution to parameter estimation in fuzzy regression models with random fuzzy sets. Here models with crisp parameters and fuzzy observations of the variables are investigated. This type of regressionmodelsmay be understood as an extension of the ordinary single equation linear regression models by integrating additionally the physical vagueness of the involved items. So the s...

species selection based on a new method such as a fuzzy method is one of the most important stages in the successful plantation management planning as choosing a suitable species for the site can be the key to success. this paper is based on a fuzzy extension of the technique or order preference which is similar to ideal solution (topsis) method. the purpose of this paper is to develop fuzzy to...

In this paper, we propose a new class of asymptotically e¢ cient estimators for moment condition models. These estimators share the same higher order bias properties as the generalized empirical likelihood estimators and once bias corrected, have the same higher order e¢ ciency properties as the bias corrected generalized empirical likelihood estimators. Unlike the generalized empirical likelih...