Results 21 to 30 of about 5,294,124 (256)
Fractal and Fractional, 2022 According to available estimates with WHO, cancers are the sixth leading cause of global human morbidity and mortality. Prostate Cancer is the fifth-ranked most lethal among various cancers, and hence it warrants serious, dedicated research for improving
Joseph David Madasi +5 more
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Mathematics, 2022 Conventional Noise Clustering (NC) algorithms do not consider any spatial information in the image. In this study, three algorithms have been presented, Noise Local Information c-means (NLICM) and Adaptive Noise Local Information c-Means (ADNLICM), which
Shilpa Suman, Dheeraj Kumar, Anil Kumar
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Optimal Entropy-Transport problems and a new Hellinger–Kantorovich distance between positive measures [PDF]
, 2016 We develop a full theory for the new class of Optimal Entropy-Transport problems between nonnegative and finite Radon measures in general topological spaces.
Matthias Liero +12 more
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The Cubic Bipolar Neutrosophic Sets theory and Uncertainty Management in Environmental Data Analysis [PDF]
Neutrosophic Sets and SystemsEnvironmental data analysis often faces uncertainties in measurements. Cubic Bipolar Neutrosophic Sets (CBN Sets) provide a powerful framework to address this challenge.
A.Salama +2 more
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A method based on TOPSIS and distance measures for hesitant fuzzy multiple attribute decision making
Technological and Economic Development of Economy, 2018 The aim of this paper is to provide a methodology to hesitant fuzzy multiple attribute decision making using technique for order preference by similarity to ideal solution (TOPSIS) and distance measures. Firstly, the inadequacies of the existing hesitant
Shouzhen Zeng, Yao Xiao
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Granular Description of Data: A Comparative Study Regarding to Different Distance Measures
IEEE Access, 2020 In data science, how to depict data in the concise and comprehensive way is an important issue. To address the issue, the key is to construct descriptors that are highly interpretable and can be used to reveal the data structure. Information granules, as
Fanzhong Meng +3 more
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Diamond Intuitionistic Fuzzy Sets and Their Applications
IEEE AccessThe primary purpose of this study is to introduce diamond intuitionistic fuzzy sets ( $ \mathcal {D} - IFS$ s). Although several generalizations of intuitionistic fuzzy sets have been introduced in the literature, the constraints of IFSs limit decision ...
Muhammad Bilal Khan +3 more
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Comparing distance measures on assessed medical device incident data using Average Silhouette Width
Current Directions in Biomedical Engineering, 2018 Many machine learning algorithms depend on the choice of an appropriate similarity or distance measure. Comparing such measures in different domains and on diversely structured data is common, but often performed in regards of an algorithm to cluster or ...
Bayer Christian, Seidel Robin
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Distance Measures between the Interval-Valued Complex Fuzzy Sets
Mathematics, 2019 Complex fuzzy set (CFS) is a recent development in the field of fuzzy set (FS) theory. The significance of CFS lies in the fact that CFS assigned membership grades from a unit circle in the complex plane, i.e., in the form of a complex number whose ...
Songsong Dai, Lvqing Bi, Bo Hu
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Distance software: design and analysis of distance sampling surveys for estimating population size [PDF]
, 2009 1. Distance sampling is a widely used technique for estimating the size or density of biological populations. Many distance sampling designs and most analyses use the software Distance. 2.
Hedley, S L +31 more
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