作者投稿和查稿 主编审稿 专家审稿 编委审稿 远程编辑

计算机工程

• 人工智能及识别技术 • 上一篇    下一篇

FMEA环境下区间梯形二型模糊群体判断聚合方法研究

王铁旦,邵小十,彭定洪   

  1. (昆明理工大学 质量发展研究院,昆明 650093)
  • 收稿日期:2016-09-23 出版日期:2017-11-15 发布日期:2017-11-15
  • 作者简介:王铁旦(1966—),男,高级工程师、博士研究生,主研方向为模糊决策;邵小十,硕士研究生;彭定洪(通信作者),副教授、博士。
  • 基金资助:
    国家自然科学基金(61364016);中国博士后科学基金(2014M550473,2015T80990);云南省应用基础研究计划项目(2014FB136)。

Research on Interval Type-2 Trapezoidal Fuzzy Group Judgment Aggregation Method Under FMEA Environment

WANG Tiedan,SHAO Xiaoshi,PENG Dinghong   

  1. (Institute of Quality Development,Kunming University of Science and Technology,Kunming 650093,China)
  • Received:2016-09-23 Online:2017-11-15 Published:2017-11-15

摘要: 针对失效模式和影响分析高度不确定的复杂群体判断环境,提出一种新的区间梯形二型模糊(IT2 TF)群体判断聚合方法。通过深度挖掘数据信息求解信息的集中趋势和波动范围,构建隶属函数参数模型,将含有个体判断不确定性的一组区间判断信息聚合成IT2 TF群体判断结果,从而量化群体判断的一致性意见并记录实际存在的不确定性信息。算例分析结果验证了该聚合方法的有效性及实用性,并表明其能提高群体判断结果的准确度。

关键词: 失效模式和影响分析, 区间梯形二型模糊, 群体判断聚合方法, 隶属函数, 不确定性

Abstract: According to the highly uncertainty group judgment complexity environment bring by Failure Mode and Effects Analysis(FMEA),this paper proposes an novel Interval Type-2 Trapezoidal Fuzzy(IT2 TF) group judgment aggregation method to compute the centralized tendency and fluctuation range of the membership function through the deep mining data information.Based on it,the IT2 TF membership function parameter model is obtained.The model aggregates a set of interval individual judgment with uncertainty information into IT2 TF group judgment result,thereby quantifies the group judgment consensus as well as the uncertainty information by integration of individual judgment.The practicability and effectiveness of the proposed method is demonstrated by an illustrative example and comparative analysis,and indicates it can improve the accuracy of the gourp judgement result.

Key words: Failure Mode and Effects Analysis(FMEA), Interval Type-2 Trapezoidal Fuzzy(IT2 TF), group judgment aggregation method, membership function, uncertainty

中图分类号: