Results 41 to 50 of about 12,223,733 (321)
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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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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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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International Journal of Intelligent Systems, 2019 In this paper, we first introduce the concept of q‐rung orthopair hesitant fuzzy set ( q ‐ROHFS) and discuss the operational laws between any two q ‐ROHFSs. Then the distance measures between q ‐ROHFSs are proposed based on the concept of “multiple fuzzy
Donghai Liu, Dan Peng, Zaiming Liu
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Identification and Distance Measures of Measurement Apparatus [PDF]
, 2006 We propose simple schemes that can perfectly identify projective measurement apparatus secretly chosen from a finite set. Entanglements are used in these schemes both to make possible the perfect identification and to improve the efficiency significantly.
D. M. Greenberger +6 more
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Shape Similarity Measurement for Known-Object Localization: A New Normalized Assessment
Journal of Imaging, 2019 This paper presents a new, normalized measure for assessing a contour-based object pose. Regarding binary images, the algorithm enables supervised assessment of known-object recognition and localization.
Baptiste Magnier, Behrang Moradi
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Intuitionistic Fuzzy Similarity Measures and Their Role in Classification
Journal of Intelligent Systems, 2016 We present some similarity and distance measures between intuitionistic fuzzy sets (IFSs). Thus, we propose two semi-metric distance measures between IFSs.
Baccour Leila +2 more
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Causality Distance Measures for Multivariate Time Series with Applications
Mathematics, 2021 In this work, we focus on the development of new distance measure algorithms, namely, the Causality Within Groups (CAWG), the Generalized Causality Within Groups (GCAWG) and the Causality Between Groups (CABG), all of which are based on the well-known ...
Achilleas Anastasiou +3 more
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Absolute continuity between the Wiener and stationary Gaussian measures [PDF]
, 1998 It is known that the entropy distance between two Gaussian measures is finite if, and only if, they are absolutely continuous with respect to one another.
Keich, U.
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Minkowski‐type distance measures for generalized orthopair fuzzy sets
International Journal of Intelligent Systems, 2018 The generalized orthopair fuzzy set inherits the virtues of intuitionistic fuzzy set and Pythagorean fuzzy set in relaxing the restriction on the support for and support against.
W. Du
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