In this work, we define fuzzy soft ($fs$) matrices and theiroperations which are more functional to make theoretical studies inthe $fs$-set theory. We then define products of $fs$-matrices andstudy their properties. We finally construct a $fs$-$max$-$min$decision making method which can be successfully applied to theproblems that contain uncertainties.

a field study was undertaken with four farming systems (fs) such as; grasses and fodders, agro-forestry, agriculture (new farming systems) and shifting cultivation (old practice), to investigate the effect of land use on the soil properties, erosion and crop productivity on a loamy acidic alfisol. besides crops, the livestock were also kept and their dropping were incorporated in the respective...

introduction: this study compared the apical sealing ability of a bioceramic based root canal repair filling material (iroot fs) with mineral trioxide aggregate (mta). methods and materials: forty single-canal teeth were prepared and randomly divided into two experimental groups ( n =18) and two control groups ( n =2). teeth in experimental groups were retrofilled with either mta or iroot fs. a...

Background: Corn silk (CS) is widely used in Iranian traditional medicine and Feijoa sellowiana(FS) is a native plant widespread in the Southern parts of Iran. The aim of the present study was to assess renal protective activities of CS and FS against dosage induced injury by ecstasy (MDMA) using insitu rat renal perfusion (IRRP) system.Methods: Hydro-alcoholic extract of CS and FS (10, 20, 40 ...

considering the importance of cd and u as pollutants of the environment, this study aims to predict the concentrations of these elements in a stream sediment from the eshtehard region in iran by means of a developed artificial neural network (ann) model. the forward selection (fs) method is used to select the input variables and develop hybrid models by ann. from 45 input candidates, 13 and 14 ...

Considering the importance of Cd and U as pollutants of the environment, this study aims to predict the concentrations of these elements in a stream sediment from the Eshtehard region in Iran by means of a developed artificial neural network (ANN) model. The forward selection (FS) method is used to select the input variables and develop hybrid models by ANN. From 45 input candidates, 13 and 14 ...