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Fuzzy similarity measures and measurement theory
2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2019We consider objects associated with a fuzzy set-based representation. By using a classic method of measurement introduced by Tversky, we establish necessary and sufficient conditions for the existence of a particular class of fuzzy similarity measures, agreeing with an ordering relation among pairs of objects which express the idea that two objects are
Coletti, Giulianella +1 more
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Neural Processing Letters, 1997
This paper concerns with the ART1 (Adaptive Resonance Theory 1) in Neural Network. Important features of ART1 are similarity measure (criterion), vigilance parameter (r), and their function to classify the input patterns. Experimental results show that the similarity measure as designed originally does not increase the number of categories with the ...
Ei Ei Khin +2 more
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This paper concerns with the ART1 (Adaptive Resonance Theory 1) in Neural Network. Important features of ART1 are similarity measure (criterion), vigilance parameter (r), and their function to classify the input patterns. Experimental results show that the similarity measure as designed originally does not increase the number of categories with the ...
Ei Ei Khin +2 more
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KWSim: Concepts Similarity Measure.
2008The comparison of manually annotated medical images can be done using the comparison of keywords in a lexical way or using the existing medical thesauri to calculate semantic similarity. In this paper, first we introduce the KWSim measure, a fully automated technique of measuring semantic similarity by mapping concepts(keywords) to different medical ...
Matar, Youssef +2 more
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Evaluating similarity measures
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining, 2005Online information services have grown too large for users to navigate without the help of automated tools such as collaborative filtering, which makes recommendations to users based on their collective past behavior. While many similarity measures have been proposed and individually evaluated, they have not been evaluated relative to each other in a ...
Ellen Spertus +2 more
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Asymmetric binary similarity measures
Oecologia, 1983Asymmetry in binary data arises when one of the two states (e.g. state "1") is interpreted as more informative than the other state. A common example in ecology occurs when one state represents presence of some unit and the other state represents absence. The problem of the classification of individuals based upon a set of such characters is related to
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2005 Seventh IEEE Workshops on Applications of Computer Vision (WACV/MOTION'05) - Volume 1, 2005
Quantitative evaluation and comparison of image segmentation algorithms is now feasible owing to the recent availability of collections of hand-labeled images. However, little attention has been paid to the design of measures to compare one segmentation result to one or more manual segmentations of the same image.
Unnikrishnan, Ranjith, Hebert, Martial
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Quantitative evaluation and comparison of image segmentation algorithms is now feasible owing to the recent availability of collections of hand-labeled images. However, little attention has been paid to the design of measures to compare one segmentation result to one or more manual segmentations of the same image.
Unnikrishnan, Ranjith, Hebert, Martial
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Theoria, 2020
AbstractThis article analyses the relationship between the concept of single aspect similarity and proposed measures of similarity. More precisely, it compares eleven measures of similarity in terms of how well they satisfy a list of desiderata, chosen to capture common intuitions concerning the properties of similarity and the relations between ...
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AbstractThis article analyses the relationship between the concept of single aspect similarity and proposed measures of similarity. More precisely, it compares eleven measures of similarity in terms of how well they satisfy a list of desiderata, chosen to capture common intuitions concerning the properties of similarity and the relations between ...
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Trajectory similarity measures
SIGSPATIAL Special, 2015Storing, querying, and analyzing trajectories is becoming increasingly important, as the availability and volumes of trajectory data increases. One important class of trajectory analysis is computing trajectory similarity. This paper introduces and compares four of the most common measures of trajectory similarity: longest common subsequence (LCSS ...
Kevin Toohey, Matt Duckham
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Possibilistic Similarity Measures
2010This paper investigates the problem of measuring the similarity degree between two normalized possibility distributions encoding preferences or uncertain knowledge. In a first part, basic natural properties of such similarity measures are proposed. Then a survey of the existing possibilistic similarity indexes is presented and in particular, we analyze
Jenhani, Ilyes +2 more
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SIMILARITY MEASURE OF SOFT SETS
New Mathematics and Natural Computation, 2008Soft set, as a parametrized family of subsets of a crisp universal set, has more ability to handle uncertain information. In this paper, we propose two types of similarity measure between soft sets and made a comparative study of these two techniques. Also we have shown an application of this similarity measure of soft sets.
PINAKI MAJUMDAR, S. K. SAMANTA
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