文献类型：期刊文献

中文题名：基于模糊集相似度量的机械设计方案决策

英文题名：Decisions-making of Machine Design Schemes Based on Similarity Measures Between Vague Sets

作者：叶军[1];娄建国[1];李伟波[1]

机构：[1]绍兴文理学院机电系

年份：2005

卷号：24

期号：10

起止页码：1173

中文期刊名：机械科学与技术

外文期刊名：Mechanical Science and Technology

收录：CSTPCD、、北大核心2004、Scopus、CSCD2011_2012、北大核心、CSCD

基金：浙江省自然科学基金项目(M603070)资助

语种：中文

中文关键词：模糊集;Vague集;相似度量;机械设计方案决策

外文关键词：Fuzzy sets; Vague sets; Similarity measures; Decisions of machine design schemes

中文摘要：针对模糊集的推广形式———Vague集,描述了Vague集的含义与相似度量,并提出一种Vague集的相似度量在机械设计方案决策中的新方法。在机械设计方案决策中,Vague集之间的相似度量是评价设计方案接近期望方案(理想方案)的度量,相似度量值越大,设计方案接近期望方案越好。通过实例阐明Vague集之间的相似度量在机械设计方案决策中的可行性。

外文摘要：The meaning and similarity measures of vague sets are described as an extension of Zadeh＇s fuzzy sets vague sets. A new decision-making method for machine design schemes based on similarity measures between vague sets is presented in the paper. The similar approach degree between the machine design scheme and the desired scheme （ ideal scheme） is evaluated in the decision-making of machine design schemes by means of measuring the degree of similarity between vague sets. The bigger the value of similarity measure is, the better the approach degree between the machine design scheme and the desired scheme is. Examples presented here explain the feasibility of the decision-making in machine design schemes through measuring the degree of similarity between vague sets.