Ranking of fuzzy numbers plays a very important role in linguistic decision making and some other fuzzy application systems. Several strategies have been proposed for ranking of fuzzy numbers. Each of these techniques has been shown to produce nonintuitive results in certain cases. In this paper, some new approaches for ranking of trapezoidal fuzzy numbers are introduced. Keywords— Magnitude of...

An Object Summary (OS) is a tree structure of tuples that summarizes the context of a particular Data Subject (DS) tuple. The OS has been used as a model of keyword search in relational databases; where given a set of keywords, the objective is to identify the DSs tuples relevant to the keywords and their corresponding OSs. However, a query result may return a large amount of OSs, which brings ...

Ranking is the major problem in variety of applications like information retrieval (IR), Data mining (DM) and natural language processing (NLP). To rank the objects according to their importance multiplicity has also been identified as a important criterion. Manifold Ranking with Sink Points (MRSP) is one of the novel approaches to conquer this problem. This approach uses a manifold ranking pro...

Sets of top-ranking pages in 19 languages returned by the Google search engine were downloaded and their titles and meta tagged keywords analyzed. Results showed significant differences in proportion of pages with keywords depending on language; specifically, pages in Dutch, French, and German showed the highest proportions with keywords, while pages in Chinese and Korean showed the lowest prop...

Sets of top-ranking pages in 19 languages returned by the Google search engine were downloaded and their titles and meta tagged keywords analyzed. Results showed significant differences in proportion of pages with keywords depending on language; specifically, pages in Dutch, French, and German showed the highest proportions with keywords, while pages in Chinese and Korean showed the lowest prop...

Nowadays social media are important tools for web resource discovery. The performance and capabilities of web searches are vital, especially search results from social research paper bookmarking. This paper proposes a new algorithm for ranking method that is a combination of similarity ranking with paper posted time or CSTRank. The paper posted time is static ranking for improving search result...

Many online or local data sources provide powerful querying mechanisms but limited ranking capabilities. For instance, PubMed allows users to submit highly expressive Boolean keyword queries, but ranks the query results by date only. However, a user would typically prefer a ranking by relevance, measured by an Information Retrieval (IR) ranking function. The naive approach would be to submit a ...

In this study a new approach to rank exponential fuzzy numbers using  -cuts is established. The metric distance of the interval numbers is extended to exponential fuzzy numbers. By using the ranking of exponential fuzzy numbers and using  -cuts the critical path of a project network is solved and illustrated by numerical examples. Keywords: Exponential Fuzzy Numbers,  -cuts, Metric Dista...