On delineating forward- and backward-graded knowledge structures from fuzzy skill maps

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Bochi Xu , Jinjin Li , Wen Sun , Bo Wang
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引用次数: 0

Abstract

Forward-graded and backward-graded structures of knowledge are two important classes of knowledge structures. Spoto and Stefanutti (2020) establish necessary and sufficient conditions for skill maps to delineate these structures. We introduce fuzzy skills to describe varying levels of proficiency in skills and extend the theoretical results of Spoto and Stefanutti (2020) for delineating forward- and backward-graded knowledge structures using fuzzy skill maps. The paper establishes necessary and sufficient conditions for fuzzy skill maps to delineate a backward-graded simple closure space, a forward-graded knowledge space, and a forward-graded simple closure space. Furthermore, the competence-based local independence model (CBLIM) with fuzzy skills is introduced and its unidentifiability is discussed.

基于模糊技能图的前向和后向分级知识结构描述
知识结构的前向分级和后向分级是两类重要的知识结构。Spoto和Stefanutti(2020)为技能图描绘这些结构建立了必要和充分的条件。我们引入模糊技能来描述不同水平的技能熟练程度,并扩展了Spoto和Stefanutti(2020)的理论结果,即使用模糊技能图描述向前和向后分级的知识结构。本文建立了模糊技能图圈定后向分级简单封闭空间、前向分级知识空间和前向分级简单封闭空间的充分必要条件。在此基础上,引入了基于能力的模糊技能局部独立模型,并讨论了该模型的不可辨识性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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