Results 21 to 30 of about 2,743,797 (328)
Picture Fuzzy Weighted Distance Measures and their Application to Investment Selection [PDF]
Amfiteatru Economic, 2019 The picture fuzzy set (PFS) is a powerful tool to collect and handle large amounts of uncertain assess information in a new light. In this study, we explore some distance measures for the PFSs and propose Picture fuzzy ordered weighted distance measure
Meiling Liu +3 more
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IEEE Access, 2023 Urinary tract infections ( $\mathbb {UTI}s$ ) pose a significant challenge globally, as they increase the risk of miscarriage and promote the growth of gram-negative bacteria.
Muhammad Saeed +4 more
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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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Time series classification with ensembles of elastic distance measures [PDF]
, 2015 Several alternative distance measures for comparing time series have recently been proposed and evaluated on time series classification (TSC) problems.
A Stefan +14 more
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Different distance measures for fuzzy linear regression with Monte Carlo methods [PDF]
, 2016 The aim of this study was to determine the best distance measure for estimating the fuzzy linear regression model parameters with Monte Carlo (MC) methods.
Cattaneo, Marco E.G.V., İçen, Duygu
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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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Distance measures in gravitational-wave astrophysics and cosmology
, 2020 We present quantities which characterize the sensitivity of gravitational-wave observatories to sources at cosmological distances. In particular, we introduce and generalize the horizon, range, response, and reach distances.
Chen, Hsin-Yu +5 more
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Unsupervised Representation Learning with Minimax Distance Measures [PDF]
, 2020 We investigate the use of Minimax distances to extract in a nonparametric way the features that capture the unknown underlying patterns and structures in the data.
Chehreghani, Morteza Haghir
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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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