Results 241 to 250 of about 152,595 (295)

Spider Silk Inspired Shape Adaptive and Heat Conductive Thermal Interface Materials

Electron, EarlyView.
Inspiring by the architecture of spider silk, a semicrystalline PVDF polymer emerges selective crystallization by dipole polarization of amorphous chains while maintaining crystalline domains with exceptional thermal conductance. This precisely orchestrated hierarchical architecture optimizes thermal conductance by efficient phonon transmission along C–
Baoxi Zhang, Shenglong Rui, Jingjing Liu, Zhanxiang Zhang, Yuan Cheng, Xinghong Zhang   +5 more
wiley   +1 more source

On the Applicability of the Advocacy Coalition Framework for Analyzing EU Policy Processes

European Policy Analysis, EarlyView.
ABSTRACT Initially developed for the US context, the Advocacy Coalition Framework (ACF) is increasingly used to analyze policy processes in the EU. But policymaking in EU differs from the US context, why the applicability of ACF in the EU context should be scrutinized.
Fredrik von Malmborg
wiley   +1 more source

Winning Legitimacy and Dodging Blame: How Government Communication Shapes Media Sentiments and Responsibility Attribution in Consensus Democracies

European Policy Analysis, EarlyView.
ABSTRACT How do governments' discursive credit‐claiming and blame‐deflection strategies shape perceived policy legitimacy in times of crisis? Despite the importance of legitimacy in conflictual times, systematic analyses of officeholders' credit‐claiming and blame‐deflection strategies and their effect on perceived legitimacy are still rare.
Céline Honegger
wiley   +1 more source

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Fuzzy conceptual clustering

Quality and Reliability Engineering International, 2010
AbstractGrouping unknown data into groups of similar data is a necessary first step for classification, indexing of databases, and prediction. Most of the current applications, such as news classification, blog indexing, image classification, and medical diagnosis, obtain their data in temporal sequence or online.
Petra Perner, Anja Attig
openaire   +1 more source

Gravitational Fuzzy Clustering

2008
Data clustering is an important part of cluster analysis. Numerous clustering algorithms based on various theories have been developed, and new algorithms continue to appear in the literature. In this paper, supposing that each cluster center is a gravity center and each data point has a constant mass, Newton's law of gravity is transformed from m/d2to
Orhan U., Hekim M., Ibrikci T.
openaire   +2 more sources

Fuzzy Clustering and Fuzzy Co-clustering

2019
Fuzzy co-clustering is a fundamental technique for summarizing the structural characteristics of cooccurrence information. In this chapter, following the brief introduction of fuzzy c-Means (FCM) clustering, FCM-induced fuzzy co-clustering model is reviewed with illustrative examples.
Tin-Chih Toly Chen, Katsuhiro Honda
openaire   +1 more source

Fuzzy Clustering

2017
This chapter presents a study of the development of the clustering methodology to data analysis, with particular attention to the analysis from a crisp environment to a fuzzy environment. An applied problem concerning service quality (using SERVQUAL) of mobile phone users, and subsequent loyalty and satisfaction forms the data set to demonstrate the ...
Mashhour H. Baeshen, Malcolm J. Beynon, Kate L. Daunt   +2 more
openaire   +1 more source

Dynamic fuzzy clustering using fuzzy cluster loading

International Journal of General Systems, 2006
When we obtain clusters through the classification of a given data it is important to interpret the meaning of the obtained clusters. This is particularly true in the clustering of 3-way asymmetric similarity data. This is true because the asymmetric property and the structure of similarity in each cluster are changed over the time periods (or ...
openaire   +1 more source

Rough–Fuzzy Collaborative Clustering

IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), 2006
In this study, we introduce a novel clustering architecture, in which several subsets of patterns can be processed together with an objective of finding a common structure. The structure revealed at the global level is determined by exchanging prototypes of the subsets of data and by moving prototypes of the corresponding clusters toward each other ...
Sushmita, Mitra, Haider, Banka, Witold, Pedrycz   +2 more
openaire   +2 more sources

Context sensitive fuzzy clustering

18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397), 2003
We introduce an objective function-based fuzzy clustering technique that incorporates linear combinations of attributes in the distance function. The main application field of our method is image processing where a comparison pixel by pixel is usually not adequate, but the environment of a pixel or groups of pixels characterize important properties of ...
Keller, A., Klawonn, F.
openaire   +2 more sources