Support vector machine (SVM) has been very successful in pattern recognition and function estimation problems for crisp data. This paper proposes a new method to evaluate interval linear and nonlinear regression models combining the possibility and necessity estimation formulation with the principle of SVM. For data sets with crisp inputs and interval outputs, the possibility and necessity mode...

Uncertainty of measuring complex-valued physical quantities can be described by complex sets. These sets can have complicated shapes, so we would like to nd a good approximating family of sets. Which approximating family is the best? We reduce the corresponding optimization problem to a geometric one: namely, we prove that, under some reasonable conditions, an optimal family must be shift-, rot...

Abstract A triangulation of a simplicial complex $\Delta $ is said to be uniform if the $f$-vector its restriction face depends only on dimension that face. This paper proves entries $h$-vector can expressed as nonnegative integer linear combinations those $, where coefficients depend and $f$-vectors restrictions simplices various dimensions. Furthermore, it provides information about these coe...

in this paper we present a method related to extracting white blood cells (wbcs) from blood microscopic figures and recognizing them and counting each kind of wbcs. in this method, first we extract the white blood cells from other blood cells by rgb color system's help. in continuance, by using the features of each kind of globules and their color scheme, we extract a normalized feature vector,...

In this paper, complex arithmetic in polar form, briefly sectors is discussed. The fact that the family of not closed under addition and subtraction gives rise to need an optimized approximation. Precisely, problem discussed, determine smallest possible sector contains sum two sectors. An efficient algorithm solving introduced compared with existing algorithms literature. are implemented MATLAB...