基于知识图谱和犹豫模糊理论的复杂产品设计知识检索系统  

Complex product design knowledge retrieval system based on knowledge graph and hesitant fuzzy theory

作　　者：张宇飞 王宏伟[2] 翟翔 牛东晓[3] 曹孟媛 ZHANG Yufei;WANG Hongwei;ZHAI Xiang;NIU Dongxiao;CAO Mengyuan(Advanced Manufacturing Institute,Zhejiang University of Technology,Hangzhou 310023;Zhejiang University-University of Illinois Urbana-Champain Institute,Zhejiang University,Haining 314400;College of Economics and Management,North China Electric Power University,Beijing 102206;State Key Laboratory of Complex Product Intelligent Manufacturing System Technology,Beijing Institute of Electronic Engineering,Beijing 100854)

机构地区：[1]浙江工业大学先进制造研究所,杭州310023 [2]浙江大学伊利诺伊大学厄巴纳香槟校区联合学院,海宁314400 [3]华北电力大学经济与管理学院,北京102206 [4]北京电子工程总体研究所复杂产品智能制造系统技术国家重点实验室,北京100854

出　　处：《高技术通讯》2023年第2期208-220,共13页Chinese High Technology Letters

基　　金：国家重点研发计划(2020YFB1707803)资助项目。

摘　　要：针对复杂产品设计知识检索系统的检索精度低、人员使用要求高、匹配知识粒度大等问题,本文开发了一种基于知识图谱(KG)和模糊相似度的设计知识检索系统。结合设计知识需求及历史设计数据,开发知识表示模型以建立设计知识网络;基于知识图谱的三元组存储形式,构建设计知识检索框架;设计基于犹豫模糊理论的句子检索算法,从词和句子层面融合句子的特征属性,并给出不同属性的隶属度计算公式,对比验证了该算法的平均准确率优于其他相关算法。在上述方法和技术的基础上,以柴油发动机设计知识为例开发设计知识检索系统,通过两类设计知识检索实例,验证了所开发系统的有效性和实用性。Aiming at the problems of complex product design knowledge retrieval system such as low precision,high requirements for users,large knowledge granularity,a design knowledge retrieval system based on knowledge graph(KG)and fuzzy similarity is developed.Combining reuse requirements and historical design data,a knowledge representation model is designed to establish a design knowledge network.Based on the three-tuple storage form of knowledge graph,a design knowledge retrieval framework is constructed.In addition,a sentence similarity algorithm based on the hesitant fuzzy theory is developed,which mainly fuses the characteristic attributes from the word and sentence.Further,the membership degree functions of attributes are given,respectively.And the algorithm proposed is compared and verified to be better than other retrieval algorithms.Based on the above methods,a design knowledge retrieval system is developed taking diesel engine design knowledge as an example,and the effectiveness and practicability of the system are verified through two types of design knowledge retrieval cases.

关 键 词：设计知识 知识图谱(KG) 犹豫模糊相似度 知识检索 

分 类 号：TP391.3[自动化与计算机技术—计算机应用技术] TB472[自动化与计算机技术—计算机科学与技术]