Results 21 to 30 of about 858,759 (313)
Identification and Distance Measures of Measurement Apparatus [PDF]
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. A brief discussion on the problem of how to appropriately define distance measures of measurements
Ji, Zhengfeng +3 more
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Similarity measure, entropy and distance measure of multiple sets [PDF]
A multiple set is an extended version of a fuzzy set that simultaneously addresses an element’s multiplicity and uncertainty. In this paper, we define the approximate equality of multiple sets and study some relevant properties associated with it.
Sanjitha Radhakrishnan, Baiju Thankachan
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On measuring the distance between histograms [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sung-Hyuk Cha, Sargur N. Srihari
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An Application of Site Selection for Solid Waste Management System Using Neutrosophic Set [PDF]
Solid waste generation is an inevitable consequence of human activities, arising from domestic, mineral extraction, commercial, agricultural, and industrial.
A.Savitha Mary +5 more
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A new condition on positive membership, neutral membership, and negative membership functions give us the successful extension of picture fuzzy set and Pythagorean fuzzy set and called spherical fuzzy sets ( SFS ) .
Muhammad Jabir Khan +4 more
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Measuring the Distance of Generalized Maps [PDF]
Generalized maps are widely used to model the topology of nD objects (such as images) by means of incidence and adjacency relationships between cells (vertices, edges, faces, volumes, ...). In this paper, we define a first error-tolerant distance measure for comparing generalized maps, which is an important issue for image processing and analysis. This
Camille Combier +2 more
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SCM Enables Improved Single-Cell Clustering by Scoring Consensus Matrices
Single-cell clustering facilitates the identification of different cell types, especially the identification of rare cells. Preprocessing and dimensionality reduction are the two most commonly used data-processing methods and are very important for ...
Yilin Yu, Juntao Liu
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Measurable Sets With Excluded Distances [PDF]
23 pages, 3 figures, typos and small errors ...
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Characteristic Analysis of Judgment Debtors Based on Hesitant Fuzzy Linguistic Clustering Method
In most law enforcement cases, judgment debtors have behaviors of evading execution in China, which seriously affects the authority of legal judgments and the judiciary’s credibility. Characteristics analysis of judgment debtors plays a vital role
Huirong Zhang, Zhenyu Zhang
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