Recommender systems apply knowledge discovery techniques to the problem of making personalized recommendations for information, products or services during a live interaction. In this paper we analyze three different recommendation generation algorithms. We look into three different techniques for computing similarities for obtaining recommendations from them. On the basis of various parameters...

In this paper we introduce for the first time the concept of correlation coefficients of interval valued neutrosophic set (INS for short). Respective numerical examples are presented.

Various attempts have been made by researchers on the study of vagueness of data through intuitionistic fuzzy sets and vague sets, and also it was shown that vague sets are intuitionistic fuzzy sets. But there are algebraic and graphical differences between vague sets and intuitionistic fuzzy sets. In this paper an attempt is made to define the correlation coefficient of interval vague sets lyi...

In this paper we suggest a method of approaching one biomagnetic modelling problem where subjective judgements are common; the identification of the number and locations of discrete regions of activity. These regions are often modelled as current dipoles. In multi-dipolar systems several different modelling approaches may be adopted. If there is a-priori evidence for a particular set of fixed l...

introduction: falling is a common problem after stroke that occurs following the physical and psychological problems. psychological factors such as reduce of self-efficacy in maintain balance could have an equal or even greater contribution than physical problems in falling. therefore, having a suitable tool with acceptable repeatability seems to be necessary for evaluation of individual confid...