基于模糊综合评判和本体的测量仪器智能优选研究
Research on Intelligent Optimization of Measuring Instruments Based on Fuzzy Comprehensive Evaluation and Ontology
黄美发 1柴鹏 2唐哲敏 2张晗2
作者信息
- 1. 桂林电子科技大学 机电工程学院,桂林 541004;桂林电子科技大学 广西制造系统与先进制造技术重点实验室,桂林 541004
- 2. 桂林电子科技大学 机电工程学院,桂林 541004
- 折叠
摘要
针对当前测量仪器的种类逐渐增多且各仪器都有不同的性能影响因素问题,提出了一种基于模糊综合评判和本体的测量仪器智能优选研究.首先,利用模糊综合评判对测量仪器的性能影响因素进行模糊划分;其次,依据本体领域知识,将模糊划分模型转化为测量仪器智能优选的本体模型,运用SWRL规则和protégé工具推理出最优的测量仪器;最后,通过工程实例展示该方法的工作过程,验证了该方法的可行性.实验结果表明,提出的方法可以为仪器选择提供参考,并可自动推理结果.
Abstract
Aiming at the increasing number of types of measuring instruments and the different performance influencing factors of each instrument,an intelligent optimization study of measuring instruments based on fuzzy comprehensive evaluation and ontology is proposed.Firstly,fuzzy classification of the performance influencing factors of measurement instruments is performed by using fuzzy comprehensive evaluation;sec-ondly,based on the ontology domain knowledge,the fuzzy classification model is transformed into an ontol-ogy model for intelligent optimization of measurement instruments,and the optimal measurement instruments are reasoned by using SWRL rules and protégé tools;finally,the working process of the method is demonstra-ted by engineering examples to verify the feasibility of the method.The experimental results show that the proposed method can provide a reference for instrument selection and can reason the results automatically.
关键词
模糊综合评判/本体/测量仪器/智能优选Key words
fuzzy integrated judgment/ontology/measuring instruments/smart preferred引用本文复制引用
基金项目
国家自然科学基金地区科学基金(52165064)
广西教育厅教师科研能力提升项目(20020KY31008)
出版年
2024
NETL
NSTL
万方数据