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

Abstract

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.