This paper presents some similarity measures between complex neutrosophic sets. A complex neutrosophic set is a generalization of neutrosophic set whose complex-valued truth membership function, complex-valued indeterminacy membership function, and complex valued falsity membership functions are the combinations of realvalued truth amplitude term in association with phase term, real-valued inde...

This paper gives an overview of shape dissimilarity measure properties, such as metric and robustness properties, and of retrieval performance measures. Fifteen shape similarity measures are shortly described and compared. Their retrieval results on the MPEG-7 Core Experiment CE-Shape-1 test set as reported in the literature and obtained by a reimplementation are compared and discussed.

We present the concept of the feature space sequence: 2D distributions of voxel features of two images generated at registration and a sequence of misregistrations. We provide an explanation of the structure seen in these images. Feature space sequences have been generated for a pair of MR image volumes identical apart from the addition of Gaussian noise to one, MR image volumes with and withou...

Measuring similarity between two strings is a fundamental step in text classification and other problems of information retrieval. Recently, kernel-based methods have been proposed for this task; since kernels are inner products in a feature space, they naturally induce similarity measures. Information theoretic (dis)similarities have also been the subject of recent research. This paper describ...

A Web service composition is an interconnected set of multiple specialized Web service operations, which complement each other to offer an improved tool capable of solving more complex problems. Manual design and implementation of Web service compositions are among the most difficult and error prone tasks. To face this complexity and to reduce errors at design time, the developer can alternativ...

This paper gives an overview of shape dissimilarity measure properties, such as metric and robustness properties, and of retrieval performance measures. Fifteen shape similarity measures are shortly described and compared. Their retrieval results on the MPEG-7 Core Experiment CE-Shape-1 test set as reported in the literature and obtained by a reimplementation are compared and discussed.

This thesis examines the application of consistency learning techniques for the classification of hyperlinked web pages. Different data similarity measures between the web pages are defined, using local features like textual content and features of the linked pages as a graph. The pairwise object similarities are gathered in similarity matrices, each of which can be used together with methods f...

The need for a more effective similarity measure is growing as a result of the astonishing amount of information being placed online. Most existing similarity measures are defined by empirically derived formulas and cannot easily be extended to new applications. We present a pairwise document similarity measure based on Information Theory, and present corpus dependent and independent applicatio...

In this paper, we first review several popular similarity measures between fuzzy sets and then extend those similarity measures to intuitionistic fuzzy sets. We also propose two new similarity measures between intuitionistic fuzzy sets. These similarity measures have been found to satisfy some similarity measure axioms. Several numerical experiments are performed to assess the performance of th...

Measuring the relevance between the query and paid search ads is an important problem to ensure the overall positive search experience. In this paper, we study experimentally the effectiveness of various document similarity models based solely on the content analysis of the query and ad landing page. Our approaches focus on two different aspects that aim to improving the document representation...