Results 161 to 170 of about 5,577 (189)
Some of the next articles are maybe not open access.
2012
This section explains how to perform QCA using fuzzy sets, commonly referred to as fsQCA. Since the publication of Ragin (2000), fsQCA has become increasingly popular because continuous base variables need not be dichotomized. After a short theoretical introduction to the concept of fuzzy-set calibration, we introduce the two most popular calibration ...
Alrik Thiem, Adrian Duşa
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This section explains how to perform QCA using fuzzy sets, commonly referred to as fsQCA. Since the publication of Ragin (2000), fsQCA has become increasingly popular because continuous base variables need not be dichotomized. After a short theoretical introduction to the concept of fuzzy-set calibration, we introduce the two most popular calibration ...
Alrik Thiem, Adrian Duşa
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2018
In the first chapter, we have briefly covered some of the basics in using R. This chapter presents the structure of the QCA package with its associated functions, complementing their explanation with an overview of the associated graphical user interface.
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In the first chapter, we have briefly covered some of the basics in using R. This chapter presents the structure of the QCA package with its associated functions, complementing their explanation with an overview of the associated graphical user interface.
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Qualitative Komparative Analyse : Crisp-set QCA und Fuzzy-Set QCA
2015Enthalten im Kapitel "Makrobasierte Methoden der Datenauswertung und Dateninterpretation"
Breustedt, Wiebke, Pickel, Gert
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Quad Countries Algorithm (QCA)
2012This paper introduces an improved evolutionary algorithm based ontheImperialist Competitive Algorithm (ICA), called Quad Countries Algorithm (QCA). The Imperialist Competitive Algorithm is inspired by socio-political process of imperialistic competition in the real world and has shown its reliable performance in optimization problems.
M. A. Soltani-Sarvestani +2 more
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2019
In this chapter, we present design and implementation of iterative computational unit such as binary divider using QCA. Different types of dividers are introduced. Specifically, non-restoring divider is discussed that realized by iterative cellular arrays for parallel divisions. Performance metrics of different existing dividers are analyzed.
Trailokya Nath Sasamal +2 more
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In this chapter, we present design and implementation of iterative computational unit such as binary divider using QCA. Different types of dividers are introduced. Specifically, non-restoring divider is discussed that realized by iterative cellular arrays for parallel divisions. Performance metrics of different existing dividers are analyzed.
Trailokya Nath Sasamal +2 more
openaire +1 more source