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Issue:Effects of fuzzy and advanced fuzzy sets in mammogram image clustering

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Title of paper: Effects of fuzzy and advanced fuzzy sets in mammogram image clustering
Author(s):
Tamalika Chaira     0000-0002-8839-0423
Department of Computer Science and Engineering, South Asian University, Maidan Garhi, New Delhi, India
tchaira@yahoo.com
Rita Chhikara     0000-0001-9537-3907
Department of Computer Science and Engineering, South Asian University, Maidan Garhi, New Delhi, India
ritachhikara@ncuindia.edu
Published in: Notes on Intuitionistic Fuzzy Sets, Volume 32 (2026), Number 2, pages 163–175
DOI: https://doi.org/10.7546/nifs.2026.32.2.163-175
Download:  PDF (881  Kb, File info)
Abstract: Breast cancer is one of the leading causes of death in the world among women. Early detection of breast masses may increase the survival rate and so automated techniques are suggested by researchers across the globe. Mammogram images are vague and many of the patterns are not visible clearly, thereby making it difficult to distinguish them using traditional crisp classification methods. So, segmentation of mammogram images remains a complex task and is necessary before moving for classification. Fuzzy/advanced fuzzy methods consider uncertainty in an image and so these sets can deal with uncertainty in medical images in an efficient manner. This paper presents the effect of using fuzzy, intuitionistic fuzzy set, Interval-type2 fuzzy set and intuitionistic fuzzy set of second type on segmenting lesions in mammogram images. Quantitative and qualitative analysis reveals that segmentation error is more on using fuzzy sets where only one uncertainty, which is membership function, is considered. Experimental results show that though intuitionistic fuzzy set, Interval-type2 fuzzy set performs well, intuitionistic fuzzy set of second type performs better than the other sets.
Keywords: Intuitionistic fuzzy set, Intuitionistic fuzzy set of second type, Interval valued type-2 fuzzy set, Intuitionistic fuzzy entropy, Clustering.
AMS Classification: 03E72, 03B20, 68U10, 62H30.
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