Modeling imprecise requirements with fuzzy objects

Jonathan Lee, Nien Lin Xue, Kuo Hsun Hsu, Stephen J. Yang

研究成果: 雜誌貢獻期刊論文同行評審

42 引文 斯高帕斯(Scopus)

摘要

One of the foci of the recent development in object-oriented modeling (OOM) has been the extension of OOM to fuzzy logic to capture and analyze informal requirements that are imprecise in nature. In this paper, a new approach to object-oriented modeling based on fuzzy logic is proposed to formulate imprecise requirements along four dimensions: (1) to extend a class by grouping objects with similar properties into a fuzzy class, (2) to encapsulate fuzzy rules in a fuzzy class to describe the relationship between attributes, (3) to evaluate the membership function of a fuzzy class by considering both static and dynamic properties, and (4) to model uncertain fuzzy associations between classes. The proposed approach is illustrated using the problem domain of a meeting scheduler system.

原文???core.languages.en_GB???
頁(從 - 到)101-119
頁數19
期刊Information Sciences
118
發行號1
DOIs
出版狀態已出版 - 9月 1999

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