ABSTRACT We use the X-ray luminosity relation of radio-loud quasars (RLQs) to measure these distances as well estimate cosmological parameters. adopt four parametric models test correlation for RLQs and radio-intermediate (RIQs) give distances. By Bayesian information criterion (BIC), data suggest that ${L_X} \propto L_{\rm UV}^{{\gamma _{\rm uv}}}L_{\rm Radio}^{\gamma radio}^{\prime }}$ has a ...

Knowledge distance is used to measure the difference between granular spaces, which an uncertainty with strong distinguishing ability in a rough set. However, current knowledge failed take relative spaces into account under given perspective of uncertain concepts. To solve this problem, paper studies intuitionistic fuzzy concept (IFC). Firstly, micro-knowledge (md) based on information entropy ...

A b s t r a c t . Numerous authors have proposed functions to quantify the degree of similarity between two fuzzy numbers using various descriptive parameters, such as the geometric distance, the distance between the centers of gravity or the perimeter. However, these similarity functions have drawbacks for specific situations. We propose a new similarity measure for generalized trapezoidal fuz...

A basic problem in classifying, or searching for similar objects in, a large set of geometric objects is computing similarity between two objects. This has led to extensive work on computing geometric similarity between two objects. This talk discusses some old and some new geometric-similarity algorithms, with an emphasis on transportation distance (also called earth mover’s distance) and Frec...

Any cross-language processing application has to first tackle the problem of transliteration when facing a language using another script. The first solution consists of using existing transliteration tools, but these tools are not usually suitable for all purposes. For some specific script pairs they do not even exist. Our aim is to discriminate transliterations across different scripts in a un...

In this paper, we investigate the properties of some recently pro-posed fuzzy distance measures. We find out some shortcomings for these dis-tances and then the obtained results are illustrated by solving several examplesand compared with the other fuzzy distances.

Combinatorial maps are widely used in image representation and processing, however map matching problems have not been extensively researched. This paper addresses the problem of inexact matching between labeled combinatorial maps. First, the concept of edit distance is extended to combinatorial maps, and then used to define mapping between combinatorial maps as a sequence of edit operations th...

Recent work has shown that ontologies are useful to improve the performance of text clustering. In this paper, we present a new clustering scheme on the basis of ontologies-based distance measure. Before implementing clustering process, term mutual information matrix is calculated with the aid of Wordnet and some methods of learning ontologies from textual data. Combining this mutual informatio...