fuzzy rough n-ary subhypergroups are introduced and characterized.

To tackle the problem with inexact, uncertainty and vague knowl- edge, constructive method is utilized to formulate lower and upper approx- imation sets. Rough set model over dual-universes in fuzzy approximation space is constructed. In this paper, we introduce the concept of rough set over dual-universes in fuzzy approximation space by means of cut set. Then, we discuss properties of rough se...

In this study, the effects of coatings made of chitosan (Chi) incorporating thyme essential oil (TEO) on lipid oxidation and changing color indexes of walnut kernels were investigated. Chi: pure, in accompany with TEO at concentrations of 500 and 1000 microliter per liter, in an aqueous coating solution, with different packaging methods: Gunny sack, polypropylene and active packaging, compared ...

in this research the quality of walnut kernels under impact loading were studied. due to unavailability of specific varieties of walnut in iran, the tests were carried out on the available genotypes. three different genotypes from walnut orchards of azarshar region were selected and were collected in 2009. a drop test device was designed and constructed to perform the experiments. the impact te...

In this paper, we take a GL-quantale as the truth value table to study a new rough set model—L-valued fuzzy rough sets. The three key components of this model are: an L-fuzzy set A as the universal set, an L-valued relation of A and an L-fuzzy set of A (a fuzzy subset of fuzzy sets). Then L-valued fuzzy rough sets are completely characterized via both constructive and axiomatic approaches. 

Classification of biological sequences with kernel methods Kernels and kernel methods Kernels for biological sequences Summary Outline 1 Kernels and kernel methods Kernels Kernel Methods 2 Kernels for biological sequences Motivations Feature space approach Using generative models Derive from a similarity measure Application: remote homology detection Jean-Philippe Vert Classification of biologi...

In this paper we show how the generation of documents can be thought of as a k-stage Markov process, which leads to a Fisher kernel from which the n-gram and string kernels can be reconstructed. The Fisher kernel view gives a more exible insight into the string kernel and suggests how it can be parametrised in a way that re-ects the statistics of the training corpus. Furthermore, the prob-abili...