Equipment Effectiveness Assessment via Knowledge Graph and Analytic Hierarchy Process

This paper presents a novel equipment effectiveness assessment method based on the knowledge graph and the analytic hierarchy process. In the method, the focused web crawling technology is adopted to select the relevant web pages from Wikipedia and obtain reliable equipment dataset for the construction of knowledge graph. Through data preprocessing and ontology construction, a hierarchical knowledge graph is formed and then the knowledge storage and visualization are implemented in Neo4j. Based on the knowledge graph and the similarity of word vectors, the network layer of the analytic hierarchy process composing of a series of different effectiveness indicators is automatically extracted. Through the determination of the weight vector and the score vector of the indicators to the effectiveness performance, the effectiveness assessment of the equipments is achieved. An illustration example based on the effectiveness assessment comparison between two equipments is finally given to verify the rationality of the proposed method.