CD-polytomous knowledge spaces and corresponding polytomous surmise systems

IF 1.5 3区 心理学 Q3 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS British Journal of Mathematical & Statistical Psychology Pub Date : 2022-07-29 DOI:10.1111/bmsp.12283
Bo Wang, Jinjin Li, Wen Sun
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引用次数: 7

Abstract

Heller (2021) generalized quasi-ordinal knowledge spaces to polytomous items. Inspired by this paper, we propose CD-polytomous knowledge space and its polytomous surmise system. A Galois connection is established between the collection K of all polytomous knowledge structures and the collection F 1 of particular polytomous attribute functions. The closed elements of the Galois connection are CD-polytomous knowledge spaces in K and polytomous surmise functions in F 1 , respectively. With the help of these, this paper provides a characterization of the polytomous knowledge structure corresponding to the polytomous surmise function that is weakly factorial. Based on the finite sets of items and response values, these results generalize the previous approaches for polytomous knowledge spaces.

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cd -多分知识空间和相应的多分猜测系统
Heller(2021)将拟序知识空间推广到多同构项目。受本文启发,我们提出了cd -多同构知识空间及其多同构猜测系统。在所有多同构知识结构的集合K和特定多同构属性函数的集合f1之间建立了伽罗瓦连接。伽罗瓦连接的封闭元素分别是K中的cd -多同构知识空间和f1中的多同构猜测函数。在此基础上,本文给出了对应于弱阶乘的多析猜测函数的多析知识结构的表征。基于项目和响应值的有限集合,这些结果推广了先前的多聚知识空间方法。
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来源期刊
CiteScore
5.00
自引率
3.80%
发文量
34
审稿时长
>12 weeks
期刊介绍: The British Journal of Mathematical and Statistical Psychology publishes articles relating to areas of psychology which have a greater mathematical or statistical aspect of their argument than is usually acceptable to other journals including: • mathematical psychology • statistics • psychometrics • decision making • psychophysics • classification • relevant areas of mathematics, computing and computer software These include articles that address substantitive psychological issues or that develop and extend techniques useful to psychologists. New models for psychological processes, new approaches to existing data, critiques of existing models and improved algorithms for estimating the parameters of a model are examples of articles which may be favoured.
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