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粗糙集指标简约的装配设计方案模糊评价
周伟, 肖莉明, 黄广全, 鞠萍华, 冉琰
重庆大学 机械传动国家重点实验室, 重庆 400044
摘要:
为了合理、快速地评价装配设计方案,确保装配实施方案的优良性,提出一种装配设计方案模糊评价方法。首先,在文献调研的基础上提出装配设计方案评价指标体系;然后,通过粗糙集理论利用专家知识对评价指标进行简约,删除冗余指标,保留必要指标,并定义指标的量化方法,并对各评价指标的重要性进行分析,计算出综合评价指标的模糊权重;最后,根据必要评价指标的属性值及相关权重,使用逼近于理想值的方法实现对可行装配设计方案的综合评价,并通过与模糊层次分析法、模糊综合评价法的评价结果对比证明了本方法的正确性。以某企业产品的传动系统装配设计方案评价过程为例验证了该方法的有效性。结果表明,该模糊评价方法对装配设计方案评价结果合理,优选出的方案具有较高的精度和效率。
关键词:  装配设计方案评价  粗糙集知识简约  模糊权重  理想与逼近现实法
DOI:10.11835/j.issn.1000-582X.2018.06.003
分类号:
基金项目:国家自然科学基金资助项目(51575070);国家"高档数控机床与基础制造装备"科技重大专项(2015ZX04003-003;2016ZX04004-005);中央高校基本科研业务费(106112017CDJXY110006)。
Fuzzy evaluation of assembly design scheme based on attribute value reduction of rough sets
ZHOU Wei, XIAO Liming, HUANG Guangquan, JU Pinghua, RAN Yan
State Key Laboratory of Mechanical Transmissions, Chongqing University, Chongqing 400044, P. R. China
Abstract:
In order to evaluate the assembly design plan reasonably and quickly, and ensure the excellent implementation of the assembly program, fuzzy evaluation method for assembly design was proposed. Firstly, the evaluation index system of assembly design was put forward on the basis of investigation and related literature search, the evaluation index was simplified, deleting the redundant indexes and retaining the necessary indexes with the aid of rough set theory and expert knowledge, and the quantification method of index was defined.Then, the importance of each evaluation index was analyzed, and the fuzzy weight of the comprehensive evaluation set was calculated. Finally, according to the property of the necessary index value and weight, the comprehensive evaluation of the feasible assembly design scheme was realized by applying technique for order preference by similarity to ideal solution,and the correctness of the method was proved by comparing with the evaluation results of fuzzy analytic hierarchy process and fuzzy comprehensive evaluation. An assembly sequence optimization process of a machine tool transmission system in an enterprise was quoted as an example to illustrate the feasibility of the proposed approach.The result shows that the fuzzy evaluation method of assembly design scheme is reasonable, and the optimized scheme has higher precision and efficiency.
Key words:  assembly design evaluation  attribute value reduction of rough sets  fuzzy weight  TOPSIS
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