scispace - formally typeset
Search or ask a question
Topic

Pairwise comparison

About: Pairwise comparison is a research topic. Over the lifetime, 6804 publications have been published within this topic receiving 174081 citations.


Papers
More filters
Posted Content
TL;DR: In this article, two extensions of the SWARA method that can be used in cases when it is not easy, or even is impossible to reach a consensus on the expected importance of the evaluation criteria are proposed.
Abstract: The weights of evaluation criteria could have a significant impact on the results obtained by applying multiple criteria decision-making methods. Therefore, the two extensions of the SWARA method that can be used in cases when it is not easy, or even is impossible to reach a consensus on the expected importance of the evaluation criteria are proposed in this paper. The primary objective of the proposed extensions is to provide an understandable and easy-to-use approach to the collecting of respondents’ real attitudes towards the significance of evaluation criteria and to also provide an approach to the checking of the reliability of the data collected.

49 citations

Journal ArticleDOI
TL;DR: A novel deep ranking model with feature learning and fusion is presented by learning a large adaptive margin between the intra- class distance and inter-class distance to solve the person re-identification problem and is more appropriate for the dynamic feature space.

49 citations

Journal ArticleDOI
TL;DR: Empirical evidence is given that the market microstructure capturing almost all of the available information in the data of stock markets does not involve higher order than pairwise interactions, and an economic interpretation of this pairwise model is given.
Abstract: Financial markets are a typical example of complex systems where interactions between constituents lead to many remarkable features. Here we give empirical evidence, by making as few assumptions as possible, that the market microstructure capturing almost all of the available information in the data of stock markets does not involve higher order than pairwise interactions. We give an economic interpretation of this pairwise model. We show that it accurately recovers the empirical correlation coefficients; thus the collective behaviors are quantitatively described by models that capture the observed pairwise correlations but no higher-order interactions. Furthermore, we show that an order–disorder transition occurs, as predicted by the pairwise model. Last, we make the link with the graph-theoretic description of stock markets recovering the non-random and scale-free topology, shrinking length during crashes and meaningful clustering features, as expected.

49 citations

Journal ArticleDOI
TL;DR: An optimization algorithm is developed for preference decision-making with the incomplete probabilistic linguistic preference relation (InPLPR), which involves estimating missing information, checking and improving the consistency, and ranking the alternatives.

49 citations

Journal ArticleDOI
TL;DR: Comparison to results obtained with the Weizmann-1 (W1) level of wave function theory shows that while all density functionals are capable of outperforming the accurate pairwise data, the choice of basis set used is crucial to the performance of the method, and if a poor choice of base set is made the errors obtained with density functional theory (DFT) can be larger than those obtaining with the simple pairwise approximation.
Abstract: We have tested the ability of four commonly used density functionals (three of which are semilocal and one of which is nonlocal) to outperform accurate pairwise additive approximations in the prediction of binding energies for a series of water clusters ranging in size from dimer to pentamer. Comparison to results obtained with the Weizmann-1 (W1) level of wave function theory shows that while all density functionals are capable of outperforming the accurate pairwise data, the choice of basis set used is crucial to the performance of the method, and if a poor choice of basis set is made the errors obtained with density functional theory (DFT) can be larger than those obtained with the simple pairwise approximation. We have also compared the binding energies and many-body terms determined with DFT to those obtained with W1, and have found that all semilocal functionals have significant errors in the many-body components of the full interactions energy. Despite this limitation, however, we have found that, of the four functionals tested, PBE1W/MG3S is the most accurate for predicting the binding energies of the clusters.

49 citations


Network Information
Related Topics (5)
Markov chain
51.9K papers, 1.3M citations
81% related
Cluster analysis
146.5K papers, 2.9M citations
76% related
Deep learning
79.8K papers, 2.1M citations
75% related
Optimization problem
96.4K papers, 2.1M citations
74% related
Robustness (computer science)
94.7K papers, 1.6M citations
74% related
Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20241
20231,305
20222,607
2021581
2020554
2019520