On the correspondence between granular polytomous spaces and polytomous surmising functions

IF 2.2 4区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Journal of Mathematical Psychology Pub Date : 2023-04-01 DOI:10.1016/j.jmp.2022.102743
Xun Ge
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Abstract

By modifying the concept of polytomous surmise functions, this paper introduces polytomous surmising functions. Then, it is shown that there is a one-to-one correspondence f between granular polytomous spaces and polytomous surmising functions where polytomous surmising functions cannot be replaced with polytomous surmise functions. This result gives a correction for a correspondence between granular polytomous spaces and polytomous surmise functions. As an application of the correspondence f, this paper demonstrates that the pair (f,f1) of mappings forms a Galois connection where all granular polytomous spaces and all polytomous surmising functions are closed elements of this Galois connection.

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关于粒度多胞空间与多胞猜测函数的对应关系
通过对多棱猜测函数概念的修正,引入了多棱猜测函数。然后,证明了颗粒多边形空间与多边形猜测函数之间存在一一对应关系,其中多边形猜测函数不能被多边形猜测函数所取代。这一结果给出了颗粒多边形空间和多边形猜测函数之间对应关系的修正。作为对应关系f的一个应用,证明了映射对(f,f−1)形成了一个伽罗瓦连接,其中所有颗粒多边形空间和所有多边形推测函数都是该伽罗瓦连接的闭元。
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来源期刊
Journal of Mathematical Psychology
Journal of Mathematical Psychology 医学-数学跨学科应用
CiteScore
3.70
自引率
11.10%
发文量
37
审稿时长
20.2 weeks
期刊介绍: The Journal of Mathematical Psychology includes articles, monographs and reviews, notes and commentaries, and book reviews in all areas of mathematical psychology. Empirical and theoretical contributions are equally welcome. Areas of special interest include, but are not limited to, fundamental measurement and psychological process models, such as those based upon neural network or information processing concepts. A partial listing of substantive areas covered include sensation and perception, psychophysics, learning and memory, problem solving, judgment and decision-making, and motivation. The Journal of Mathematical Psychology is affiliated with the Society for Mathematical Psychology. Research Areas include: • Models for sensation and perception, learning, memory and thinking • Fundamental measurement and scaling • Decision making • Neural modeling and networks • Psychophysics and signal detection • Neuropsychological theories • Psycholinguistics • Motivational dynamics • Animal behavior • Psychometric theory
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