pedomodels have become a popular topic in soil science and environmentalresearch. they are predictive functions of certain soil properties based on other easily orcheaply measured properties. the common method for fitting pedomodels is to use classicalregression analysis, based on the assumptions of data crispness and deterministic relationsamong variables. in modeling natural systems such as s...

the aim of this paper is the study of fuzzy basis and dimensionof fuzzy hypervector spaces. in this regard, first the notions of fuzzy linearindependence and fuzzy basis are introduced and then some related results areobtained. in particular, it is shown that for a large class of fuzzy hypervectorspace the fuzzy basis exist. finally, dimension of a fuzzy hypervector space isdefined and the basi...

numerical instability can be problems. Therefore, the nonlinear least-squares regression method introduced Tension infiltrometer measurements have been used to measure by Logsdon and Jaynes (1993) has been widely used, steady-state infiltration rates at applied tensions. The measurements owing to its simplicity. They estimated saturated hycan be used to determined soil hydraulic properties thro...

In this paper, we introduce a new mathematical programming approach to estimate the parameters of fuzzy linear regression with crisp/fuzzy input and fuzzy output. The advantage of this approach is, both of dependent and independent variables are influenced on the objective function. Therefore, this model rectifies some problems about outliers. Also, in this paper we use possibility function in ...

Multilevel inverters supplied from equal and constant dc sources almost don’t exist in practical applications. The variation of the dc sources affects the values of the switching angles required for each specific harmonic profile, as well as increases the difficulty of the harmonic elimination’s equations. This paper presents an extremely fast optimal solution of harmonic elimination of multile...

In standard regression analysis the relationship between one (response) variable and a set of (explanatory) variables is investigated. In a classical framework the response is affected by probabilistic uncertainty (randomness) and, thus, treated as a random variable. However, the data can also be subjected to other kinds of uncertainty, such as imprecision. A possible way to manage all of these...

A large number of accounting studies have examined the occurrence of earnings management in various contexts. In most of these studies, the earnings management detection model is based on the linear regression model suggested by Jones (1991). A considerable problem with the Jones model is the requirement of long time series of financial statement data. An alternative to estimating the linear re...

A weighted linear regression model with impercise response and p-real explanatory variables is analyzed. The LR fuzzy random variable is introduced and a metric is suggested for coping with this kind of variables. A least square solution for estimating the parameters of the model is derived. The result are illustrated by the means of some case studies.