文章基本信息

标题：The Interval Parameter Optimization Model Based on Three-Way Decision Space and Its Application on “Green Products Recommendation”
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作者：Mingxia Li ; Kebing Chen ; Caiyun Liu 等
期刊名称：Discrete Dynamics in Nature and Society
印刷版ISSN：1026-0226
电子版ISSN：1607-887X
出版年度：2020
卷号：2020
页码：1-12
DOI：10.1155/2020/9587353
出版社：Hindawi Publishing Corporation
摘要：The interval concept lattice theory, a new method of mining objects based on interval parameters, can more accurately deal with uncertain information than the classical concept lattice theory. The optimization of interval parameters has been a problem that is not well solved. From the perspective of three-way decision space, we first combine the theories of interval concept lattice and three-way decision and then put forward interval three-way decision space theory; second, in the interval three-way decision space, the positive region, negative region, and boundary region are divided by extension of interval three-way decision concept; further, the decision loss function and three-way decision rules are extracted. Through adjusting interval parameters of the lattice structure, we could find that when parameter α is roughly 0.6, more credible decision rules will be mined and decision-making becomes more clear than that under the condition α is less than 0.6; finally, we verify the model by a “Green Products Recommendation” example.