In this paper, a fuzzy information fusion method of fault diagnosis based on evidence similarity measure is presented. First, because of the fuzziness of information received by sensors, membership functions are introduced to describe the fault template mode in model database and features extracted from sensor observations; then the degrees of matching between them are obtained using random set...

85 ABSTRACT: Semantic Similarity relates to computing the similarity between different ontological concepts .Various categories of semantic similarity measures have been proposed to determine how similar are they between any two concepts within ontology. Information Content (IC) measure is one such among the category of measures. We analyze different methods of calculating the IC value for any ...

With simple cost effective imaging solutions being widely available these days, there has been an enormous rise in the number of images consumers have been taking. Due to this increase, searching, browsing and managing images in multi-media systems has become more complex. One solution to this problem is to divide images into albums for meaningful and effective browsing. We propose a novel auto...

In this paper, the cosine similarity measure of neutrosophic refined (multi-) sets is proposed and its properties are studied. The concept of this cosine similarity measure of neutrosophic refined sets is the extension of improved cosine similarity measure of single valued neutrosophic. Finally, using this cosine similarity measure of neutrosophic refined set, the application of medical diagnos...

Similarity is the key notion underlying many contemporary theories about the representation of meaning through words or concepts. However, these representations are strongly colored by the kind of information captured by various semantic measures. In this paper we present a systematic comparison of human similarity judgments and calculated similarity coefficients from different sources of seman...

We present a framework for analyzing the structure of digital media streams. Though our methods work for video, text, and audio, we concentrate on detecting the structure of digital music files. In the first step, spectral data is used to construct a similarity matrix calculated from inter-frame spectral similarity. The digital audio can be robustly segmented by correlating a kernel along the d...

Social science research demonstrates that people are drawn to others perceived as similar. We extend this finding to political candidates by comparing the relative effects of candidate familiarity as well as partisan, issue, gender, and facial similarity on voters’ evaluations of candidates. In Experiment One, during the final week of the 2006 Florida gubernatorial race, a national representati...

Current longitudinal image registration methods rely on the assumption that image appearance between time-points remains constant or changes uniformly within intensity classes. This assumption, however, is not valid for magnetic resonance imaging of brain development. Registration methods developed to align images with non-uniform appearance change either (i) locally minimize some global simila...

In this contribution, we propose a method that uses a multilingual framework to validate the relevance of the notion of vector based semantic similarity between texts. The goal is to verify that vector based semantic similarities can be reliably transfered from one language to another. More precisely, the idea is to test whether the relative positions of documents in a vector space associated w...