There exist various types of similarity measures for intuitionistic fuzzy sets in the literature. However, many studies interactions among elements are ignored construction measure. This paper presents a cosine measure by using Choquet integral model which between considered. The proposed is applied to some pattern recognition problems and results compared with existing demonstrate effectivenes...

Tags are often used to describe user-generated content on the Web. However, the available Web applications are not incrementally dealing with new tag information, which negatively influences their scalability. Since the cosine similarity between tags represented as co-occurrence vectors is an important aspect of these frameworks, we propose two approaches for an incremental computation of cosin...

In this article we present three similarity measures between simplified neutrosophic hesitant fuzzy sets, which contain the concept of single valued neutrosophic hesitant fuzzy sets and interval valued neutrosophic hesitant fuzzy sets, based on the extension of Jaccard similarity measure, Dice similarity measure and Cosine similarity in the vector space. Then based on these three defined simila...

In this article we present three similarity measures between simplified neutrosophic hesitant fuzzy sets, which contain the concept of single valued neutrosophic hesitant fuzzy sets and interval valued neutrosophic hesitant fuzzy sets, based on the extension of Jaccard similarity measure, Dice similarity measure and Cosine similarity in the vector space. Then based on these three defined simila...

In this paper, different types of web session similarity metrics are compared and combined for better web session clustering. Syntactic and co-occurrence information are used for similarity calculation. Syntactic information on a web page includes the place of the page in the directory hierarchy. Co-occurrence information is the amount of the occurrences of two web pages in the same sessions. V...

We present a nearest-neighbor algorithm for resolving prepositional phrase attachment ambiguities. Its performance is significantly higher than previous corpus-based methods for PP-attachment that do not rely on manually constructed knowledge bases. We will also show that the PP-attachment task provides a way to evaluate methods for computing distributional word similarities. Our experiments in...

Clustering is a useful technique that organizes a large quantity of unordered text documents into a small number of meaningful and coherent clusters, thereby providing a basis for intuitive and informative navigation and browsing mechanisms. Text-clustering is to divide a collection of textdocuments into different categories so that documents in the same category describe the same topic such as...

The amount of information in term of documents, available to users as a result of information retrieval process for the purpose of resolution of decision problems is a major factor that determines whether economically viable decisions would be made or not. Various works in the literature had addressed the challenges of representing the documents with key terms (generated from the document) as w...

Information retrieval is great technology behind web search services. In information retrieval, it is common to model index terms and documents as vectors in a suitably defined vector space. The vector space model is one of the classical and widely applied retrieval models to evaluate relevance of web page. The retrieval operation consists of computing the cosine similarity function between a g...

Collaborative environments are virtual workplaces where agents can communicate, interact and collaborate. We introduce a model to compare different social structures and make a comparison between famous network structure and our goal infrastructure. Based on the differences, the main reasons to present our proposed model are described. Therefore we introduce an infrastructure to support optimiz...