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
doaj +2 more sources
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
doaj +2 more sources
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
doaj +2 more sources
Ranking the information content of distance measures [PDF]
PNAS Nexus, 2022 Real-world data typically contain a large number of features that are often heterogeneous in nature, relevance, and also units of measure. When assessing the similarity between data points, one can build various distance measures using subsets of these ...
Glielmo A +4 more
europepmc +4 more sources
Distance measures in gravitational-wave astrophysics and cosmology [PDF]
Classical and quantum gravity, 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
core +2 more sources
New cosine similarity and distance measures for Fermatean fuzzy sets and TOPSIS approach. [PDF]
Knowl Inf Syst, 2023 The most straightforward approaches to checking the degrees of similarity and differentiation between two sets are to use distance and cosine similarity metrics.
Kirişci M.
europepmc +2 more sources
Multicriteria decision-making based on distance measures and knowledge measures of Fermatean fuzzy sets. [PDF]
Granul Comput, 2022 Fermatean fuzzy sets are more powerful than fuzzy sets, intuitionistic fuzzy sets, and Pythagorean fuzzy sets in handling various problems involving uncertainty.
Ganie AH.
europepmc +2 more sources
Quantifying the impact of physical distance measures on the transmission of COVID-19 in the UK [PDF]
BMC Med, 2020 Background To mitigate and slow the spread of COVID-19, many countries have adopted unprecedented physical distancing policies, including the UK. We evaluate whether these measures might be sufficient to control the epidemic by estimating their impact on
Jarvis CI +7 more
europepmc +3 more sources
The effect of social distance measures on COVID-19 epidemics in Europe: an interrupted time series analysis. [PDF]
Geroscience, 2020 Following the introduction of unprecedented “stay-at-home” national policies, the COVID-19 pandemic recently started declining in Europe. Our research aims were to characterize the changepoint in the flow of the COVID-19 epidemic in each European country
Vokó Z, Pitter JG.
europepmc +2 more sources
Elastic similarity and distance measures for multivariate time series [PDF]
Knowledge and Information Systems, 2021 This paper contributes multivariate versions of seven commonly used elastic similarity and distance measures for time series data analytics. Elastic similarity and distance measures can compensate for misalignments in the time axis of time series data ...
Ahmed Shifaz +3 more
semanticscholar +1 more source