Analysis of Doppler ultrasound signals based on fuzzy similarity index

Güler, İnan; Übeylı, Elif Derya

doi:10.1016/j.eswa.2005.09.006

Cited by 3 publications

(1 citation statement)

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“…Degree of similarity measures of fuzzy numbers is very important in fuzzy decision making, fuzzy clustering, fuzzy risk analysis, image processing, pattern recognition [2], [3], [4] - [9], [10] - [12]. Some researchers have dealt with similarity measures for generalized fuzzy numbers in [3], [13], [14], [15], [16], [17]. All the similarity measures defined for generalized fuzzy numbers faces some drawback and fail to provide accurate result in some cases.…”

Section: Introductionmentioning

confidence: 99%

A Novel Similarity Measure between Generalized Fuzzy Numbers

Nayagam¹,

Sivaraman²

2012

IJCTE

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Abstract-In this paper, a new method has been defined to measure the degree of similarity between generalized fuzzy numbers and some properties of the proposed similarity measure have been discussed with examples. The proposed similarity measure is more accurate, robust, free from defect and precise due to the reason that the proposed similarity measure includes minimal parameters to define a generalized fuzzy numbers. This novel similarity measure has many applications in the fields of Clustering, Pattern recognition, Finger-Print matching, Fuzzy risk analysis, Decision-making and Image processing.Index Terms-Fuzzy numbers, similarity measure, generalized fuzzy numbers.

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