タクマ ヒロノリ   Hironori Takuma   田隈　広紀    所属   千葉工業大学  未来変革科学部 デジタル変革科学科    千葉工業大学  社会システム科学研究科 マネジメント工学専攻    職種   教授
言語種別	英語
発行・発表の年月	2022/04/20
形態種別	学術雑誌
査読	査読あり
標題	Solving restriction of Bayesian network in giving domain knowledge by introducing factor nodes
執筆形態	共著
掲載誌名	International Journal of Business Intelligence and Data Mining
掲載区分	国外
出版社・発行元	INDERSCIENCE
概要	Bayesian network is a probabilistic inference model that is effective for decision-making in business such as product development. Multiple events are represented as oval nodes and their relationships are drawn as edges among them. However, in order to obtain a sufficient effect, it is necessary to appropriately configure domain knowledge, for example more customer response to the product leads to more clarity of requirements for products. Such domain knowledge is configured as an edge connecting nodes. But in some cases, the constraint of the structure in Bayesian network prevents this configuration. In this study, the authors propose a method to avoid this constraint by introducing the redundant factor nodes generated by applying factor analysis to the data related with domain knowledge. With this approach more domain knowledge can be applied to Bayesian network, and the accuracy of decision-making in business is expected be improved.