نتایج جستجو برای: possibilistic statistical concepts

تعداد نتایج: 518061  

Journal: :IIUM Journal of Educational Studies 2022

This study focused on modelling the influence of teaching practices, students’ attitudes towards statistics, learning practices and perceived ability understanding in basic statistical concepts using Structural Equation Modelling. A total 416 students from four Malaysian public tertiary institutions made up sample for this study. The results showed that statistics has a strong (measured by perf...

2003
David Al-Dabass Manling Ren

The structure of Chinese characters is reviewed and seen to be best represented as 3-layer hierarchy of character, radical and stroke. Fuzzy possibilistic reasoning is then put forward as an appropriate set of conceptual tools to investigate the automatic recognition of these characters. An associative memory artificial neural network algorithms form a suitable technique for realising these con...

Journal: :iranian journal of science and technology (sciences) 2014
m. basarir

in the present paper, we introduce some new sequence spaces derived by riesz mean and the notions of almost and strongly almost convergence in a real 2-normed space. some topological properties of these spaces are investigated. further, new concepts of statistical convergence which will be called weighted almost statistical convergence, almost statistical convergence and statistical convergence...

Journal: :Mathematical Finance 2021

The notion of statistical arbitrage introduced in Bondarenko (2003) is generalized to -arbitrage corresponding trading strategies which yield positive gains on average a class scenarios described by -algebra . This contains classical as special case. Admitting general static payoffs strategies, done Kassberger and Liebmann (2017) the case one pricing measure, leads -arbitrage. We show that even...

Journal: :Journal of the Korean Association of Oral and Maxillofacial Surgeons 2013

Journal: :Clinical Epidemiology and Global Health 2013

Journal: :Journal of Multivariate Analysis 2004

2011
Violaine Antoine Benjamin Quost Mylène Masson Thierry Denoeux

We present an improved relational clustering method integrating prior information. This new algorithm, entitled CEVCLUS, is based on two concepts: evidential clustering and constraint-based clustering. Evidential clustering uses the DempsterShafer theory to assign a mass function to each object. It provides a credal partition, which subsumes the notions of crisp, fuzzy and possibilistic partiti...

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