Topic
Pairwise comparison
About: Pairwise comparison is a research topic. Over the lifetime, 6804 publications have been published within this topic receiving 174081 citations.
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26 Oct 2005
TL;DR: Results from fuzzy set theory and fuzzy morphology are used to extend the definitions of existing overlap measures to accommodate multiple fractional labels and a quantitative link between overlap and registration error is established.
Abstract: Effective validation techniques are an essential pre-requisite for segmentation and non-rigid registration techniques to enter clinical use. These algorithms can be evaluated by calculating the overlap of corresponding test and gold-standard regions. Common overlap measures compare pairs of binary labels but it is now common for multiple labels to exist and for fractional (partial volume) labels to be used to describe multiple tissue types contributing to a single voxel. Evaluation studies may involve multiple image pairs. In this paper we use results from fuzzy set theory and fuzzy morphology to extend the definitions of existing overlap measures to accommodate multiple fractional labels. Simple formulas are provided which define single figures of merit to quantify the total overlap for ensembles of pairwise or groupwise label comparisons. A quantitative link between overlap and registration error is established by defining the overlap tolerance. Experiments are performed on publicly available labeled brain data to demonstrate the new measures in a comparison of pairwise and groupwise registration.
49 citations
TL;DR: A new multi-objective model based on weighted goal programming and grey pairwise comparison to assess renewable energy-based strategies in the case of net-zero energy communities indicated that the model is capable of finding the best possible strategies with the lowest total undesirable deviations from the desired levels of the goals compared to the literature of the decision-making techniques.
49 citations
TL;DR: The outcomes of the proposed article show that BCM performance is significantly better than AHP and BWM methods with respect to the consistency ratio, and it requires fewer comparison data and has the ability to calculate missing pairwise comparisons.
Abstract: In this paper, Base-criterion method (BCM) is proposed to solve multi-criteria decision-making problems. According to BCM, instead of executing a pairwise comparisons between all criteria or execut...
49 citations
TL;DR: In this paper, the authors investigated the link between the individual and group-level judgments by extending R. D. Luce's (1959) model, which was originally developed for individual choice behavior, to a mixed-effects paired comparison model.
Abstract: The method of paired comparisons belongs to a small group of techniques that provide explicit information about the consistency of individual and aggregated choices. This article investigates the link between the individual- and group-level judgments by extending R. D. Luce's (1959) model, which was originally developed for individual choice behavior, to a mixed-effects paired comparison model. It is shown that standard multilevel software for binary data can be used to estimate the model. The interpretation of the paired comparison parameters and statistical model tests are discussed in detail. An extensive analysis of an experimental study illustrates the usefulness of a hierarchical approach in modeling multiple pairwise judgments.
49 citations
TL;DR: Comparing two theoretical models and an integrated model to identify which theoretical models best predicts blog continuance intention show that the ECT‐IS model and the integrated model have greater explanatory power of blog Continance intention than the technology acceptance model (TAM).
Abstract: Purpose – The purpose of this paper is to understand blog continuance. Specifically, this paper aims to compare two theoretical models and an integrated model to identify which theoretical models best predicts blog continuance intention.Design/methodology/approach – An empirical study was conducted through an online survey. Data collected from six famous blogs in Taiwan (n=361) were analyzed using structural equation modeling and pairwise nested F‐tests.Findings – Results show that the ECT‐IS model and the integrated model have greater explanatory power of blog continuance intention than the technology acceptance model (TAM). The results of pairwise nested F‐tests show that the ECT‐IS model exhibits statistically significant R2 improvement compared to TAM. However, the R2 improvement in the integrated model is not statistically different from that in the ECT‐IS model. The ECT‐IS model is also more parsimonious than the integrated model. Thus, the ECT‐IS is a preferable model. Confirmation and satisfaction...
49 citations