There are many priority deriving methods for pairwise comparison matrices. It is known that when these matrices consistent all result in the same vector. However, they inconsistent, results may vary. The presented work formulates an estimation of difference between vectors two most popular ranking methods: eigenvalue method and geometric mean method. provided refers to inconsistency matrix. The...

a new approach to define the similarity measure betweeninterval-valued fuzzy sets is presented. the proposed approach isbased on a weighted measure in which the normalized similaritiesbetween lower functions and also between upper functions arecombined by a weight parameter. the properties of this similaritymeasure are investigated. it is shown that, the proposed measurehas some advantages in c...

This paper describes the participation of the IRIT team to SemEval 2012 Task 6 (Semantic Textual Similarity). The method used consists of a n-gram based comparison method combined with a conceptual similarity measure that uses WordNet to calculate the similarity between a pair of concepts.

The lsemantica command, presented in this paper, implements Latent Semantic Analysis in Stata. Latent Semantic Analysis is a machine learning algorithm for word and text similarity comparison. Latent Semantic Analysis uses Truncated Singular Value Decomposition to derive the hidden semantic relationships between words and texts. lsemantica provides a simple command for Latent Semantic Analysis ...

In fuzzy set theory, comparison of fuzzy sets plays an important role. Among the several ways to compare fuzzy sets, we address the logical theoretic approach using fuzzy implications. We propose a general framework allowing to generate many measures of comparison: inclusion, similarity and distance, and study their properties. Since the literature on the use fuzzy implications for defining suc...

This submission to the MIREX 2009 Audio Similarity Task is a variant of the algorithm described in [1]. For comparison to the MIREX 2007 Audio Similarity Task, also the 2007 algorithm is re-submitted, which ranked first in 2007.

Previous approaches to the problem of measuring similarity between automatically generated topics have been based on comparison of the topics’ word probability distributions. This paper presents alternative approaches, including ones based on distributional semantics and knowledgebased measures, evaluated by comparison with human judgements. The best performing methods provide reliable estimate...

Different similarity measures are available for comparison of textual data. These similarity measures are used for plagiarism detection. This research paper proposes a new similarity measure. Moreover, this paper proposes to consider length of content for plagiarism score determination. General Terms Data mining, plagiarism detection.