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基于相似修正关系推理的焊接工艺决策
引用本文:冯志强,韩峻峰,,黄伟铭,柳存根,,甘露,韩翔希,焦自权.基于相似修正关系推理的焊接工艺决策[J].智能系统学报,2020,15(5):880-887.
作者姓名:冯志强  韩峻峰    黄伟铭  柳存根    甘露  韩翔希  焦自权
作者单位:1. 北部湾大学 机械与船舶海洋工程学院,广西 钦州 535011;2. 广西科技大学 电气与信息工程学院,广西 柳州 545006;3. 上海交通大学 船舶海洋与建筑工程学院,上海 200240;4. 上海船舶工艺研究所 先进连接技术与自动化装备研究室,上海 200032
摘    要:针对基于相似度的推理和合成关系推理存在的不足,本文提供一种将相似度量与贴近方向相结合,生成修正或诱导模糊关系的近似推理模式。通过引入模糊概念间贴近方向函数,构造扩展型和缩减型2类修正函数,由此导出推理模型的一般表达形式,并对几个修正算子和构造条件关系的模糊转化算子进行了分析比较。基于该推理模式构建焊接工艺决策模型,由给定熔深来确定合理的焊接规范参数,结果表明:模型可达到较高的计算精度,从而解决了近似推理中输出结果不能对输入事实的每一变化作出准确响应的问题。

关 键 词:近似推理  相似度量  贴近方向  剩余蕴涵  t-范数t-范数  修正关系  转化算子  焊接规范参数

Decision-making for welding process based on similarity-modified relation inference
FENG Zhiqiang,HAN Junfeng,,HUANG Weiming,LIU Cungen,,GAN Lu,HAN Xiangxi,JIAO Ziquan.Decision-making for welding process based on similarity-modified relation inference[J].CAAL Transactions on Intelligent Systems,2020,15(5):880-887.
Authors:FENG Zhiqiang  HAN Junfeng    HUANG Weiming  LIU Cungen    GAN Lu  HAN Xiangxi  JIAO Ziquan
Affiliation:1. College of Mechanical and Marine Engineering, Beibu Gulf University, Qinzhou 535011, China;2. College of Electrical and Information Engineering, Guangxi University of Science and Technology, Liuzhou 545006, China;3. School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China;4. Advanced Connection Technology and Automation Equipment Research Laboratory, Shanghai Institute of Shipbuilding Technology, Shanghai 200032, China
Abstract:Based on the analysis of the characteristics of compositional relation inference and existing similarity reasoning, an approximate reasoning pattern is proposed, which combines the similarity measure and nearness direction to generate a modified (or induced) fuzzy relation. By introducing the function of nearness direction between fuzzy concepts, expansion-typed and reduction-typed modification operators are constructed. Accordingly, a general expression of the reasoning model is given, and the selection of some modification and translation operators for constructing fuzzy relations is discussed. The proposed method is applied to the decision-making of welding process parameters and determining reasonable parameters of welding codes with a given penetration depth. The experimental results show that the reasoning model has high computational accuracy, which will help in the accurate output results of approximate reasoning to every change in the input fact.
Keywords:approximate reasoning  similarity measure  nearness direction  modified relation  t-normt-norm  modification relationship  translation operator  welding code parameters
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