Tacit Knowledge Mining of Formula Based on Double Decision Attribute Concept Lattices

被引：0
|
作者：
Zhang, Xi-zheng [1 ]
Cai, Yue-yue [1 ]
Luo, Wen [1 ]
机构：
[1] Hunan Univ, Sch Business, Changsha, Hunan, Peoples R China
来源：
INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND APPLICATION ENGINEERING (CSAE) | 2017年 / 190卷
基金：
中国国家自然科学基金;
关键词：
REDUCTION; DISCOVERY;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
This study used concept lattice model to construct formal context relation of formula attributes, and extracted the association rules among the attributes of object especially the tacit knowledge between the component dosage of formula and double decision attributes: the comprehensive score and the cost. Taking the ferment as an example, the key components and dosage that affect the effect and cost of formula were excavated and the formula that has good performance in both functionality and economy were selected. The results of this study contribute to rapid decision-making in the factor selection and quantitative configuration when developing new formulas.
引用
收藏
页码：25 / 35
页数：11
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