基于犹豫模糊集的决策层融合识别方法
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- 英文论文题名：Fusion Recognition Method on Decision Level Based on Hesitant Fuzzy Set
- 论文作者：孙贵东 ; 关欣 ; 赵静 ; 彭彬彬 ; 吴斌
- 英文论文作者：Sun Guidong ; Guan Xin ; Zhao Jing ; Peng Binbin ; Wu Bin ; Department of Electronics and Information Engineering ; Naval Aeronautical and Astronautical University
- 年：2016
- 作者机构：海军航空工程学院电子信息工程系;
- 论文关键词：目标识别 ; 犹豫模糊集 ; 决策层 ; TOPSIS
- 英文论文关键词：target recognition ; hesitant fuzzy set ; decision level ; TOPSIS
- 会议召开时间：2016-10-31
- 会议录名称：探索 创新 交流（第7集）——第七届中国航空学会青年科技论坛文集（下册）
- 英文会议录名称：Discovery,Innovation and Communication——Proceedings of 7th CSAA Science and Technology Youth Forum
- 语种：中文
- 分类号：V241;V271.41;O159
- 学会代码：ZGHU
- 会议名称：探索 创新 交流（第7集）——第七届中国航空学会青年科技论坛
- 会议地点：中国广东中山
- 主办单位：中国航空学会
- 学会名称：中国航空学会
- 页数：7
- 文件大小：524k
- 原文格式：O
- 会议级别：全国
摘要
为解决独立信源属性判决的模糊性,提出基于犹豫模糊集的决策层属性融合识别方法。采用犹豫模糊集描述独立信源属性判决的模糊性,并提出一种新的犹豫模糊集数据延拓方法,依次选取已有模糊集的均值作为一个延拓模糊集.直至所有模糊集数量相等,最后在融合中心结合TOPSIS方法对各信源犹豫模糊集属性判决进行多属性识别判定。结合仿真算例详细验证了该算法的有效性。
A fusion recognition method on decision level based on hesitant fuzzy set is proposed to solve the fuzziness of the single infomiation source attribute decision making.This paper applies the hesitant fuzzy set to describe such fuzziness and presents a novel data extension method for hesitant fuzzy set,which extend the shorter one with the mean value of the present hesitant fuzzy set in sequence until all of them have the same length when we compare them.Finally based on the TOPSIS method the multiattribute decision making is made for the single information source hesitant fuzzy set attribute in the fusion center.Combined with the simulation result the effectiveness of our algorithm is illustrated in detail.
A fusion recognition method on decision level based on hesitant fuzzy set is proposed to solve the fuzziness of the single infomiation source attribute decision making.This paper applies the hesitant fuzzy set to describe such fuzziness and presents a novel data extension method for hesitant fuzzy set,which extend the shorter one with the mean value of the present hesitant fuzzy set in sequence until all of them have the same length when we compare them.Finally based on the TOPSIS method the multiattribute decision making is made for the single information source hesitant fuzzy set attribute in the fusion center.Combined with the simulation result the effectiveness of our algorithm is illustrated in detail.
引文
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[5]B Farhadinia.Information Measures for Hesitant Fuzzy Sets and Interval-Valued Hesitant Fuzzy Sets[J].Information Sciences,2013,240:129-144.
[6]Huchang Liao,Zeshui Xu,Xiao-Jun Zeng.Distance and Similarity Measures for Hesitant Fuzzy Linguistic Term Sets and Their Application in Multi-Criteria Decision Making[J].Information Sciences,2014,271,125-142.
[7]G Wei.Hesitant fuzzy prioritized operators and their application to multiple attribute decision making[J].Knowledge Based Systems,2012,31:176-182.
[8]DeepaJoshi,SanjayKumar.Interval-Valued Intuitionistic Hesitant Fuzzy Choquet Integral Based TOPSIS Method for Multi-Criteria Group Decision Making[J].European Journal of Operational Research,2016,248:183-191.
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[11]Hongbin Liu,R M Rodriguez.A Fuzzy Envelope for Hesitant Fuzzy Linguistic Term Set and its Application to Multicriteria Decision Making[J].Information Sciences,2014,258:220-238.
[12]R M Rodriguez,L Martinez,F Herrera.Hesitant Fuzzy Linguistic Term Sets for Decision Making[J].IEEE Transactions on fuzzy Systems,2012,20:109-119.
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[2]V Torra,Y Narukawa.On Hesitant Fuzzy Sets and Decision[C]//The 18thIEEE International Conference on Fuzzy Systems.2009:1378-1382.
[3]Zeshui Xu,Meimei Xia.Distance and Similarity Measures for Hesitant Fuzzy Sets[J].Information Sciences,2011,181:2128-2138.
[4]Deqing Li,Wenyi Zeng,Yibin Zhao.Note on Distance Measure of Hesitant Fuzzy Sets[J].Information Sciences2015:321:103-115.
[5]B Farhadinia.Information Measures for Hesitant Fuzzy Sets and Interval-Valued Hesitant Fuzzy Sets[J].Information Sciences,2013,240:129-144.
[6]Huchang Liao,Zeshui Xu,Xiao-Jun Zeng.Distance and Similarity Measures for Hesitant Fuzzy Linguistic Term Sets and Their Application in Multi-Criteria Decision Making[J].Information Sciences,2014,271,125-142.
[7]G Wei.Hesitant fuzzy prioritized operators and their application to multiple attribute decision making[J].Knowledge Based Systems,2012,31:176-182.
[8]DeepaJoshi,SanjayKumar.Interval-Valued Intuitionistic Hesitant Fuzzy Choquet Integral Based TOPSIS Method for Multi-Criteria Group Decision Making[J].European Journal of Operational Research,2016,248:183-191.
[9]付超,赵敬.基于犹豫直觉模糊数的多属性决策方法[J].系统工程,2014,32(4):131-136.]
[10]R M.Rodriguez,L Martinez,F Herrera.A group Decision Making Model Dealing with Comparative Linguistic Expressions Based on Hesitant Fuzzy linguistic Term Sets[J].Information Sciences,2013,241:28-42.
[11]Hongbin Liu,R M Rodriguez.A Fuzzy Envelope for Hesitant Fuzzy Linguistic Term Set and its Application to Multicriteria Decision Making[J].Information Sciences,2014,258:220-238.
[12]R M Rodriguez,L Martinez,F Herrera.Hesitant Fuzzy Linguistic Term Sets for Decision Making[J].IEEE Transactions on fuzzy Systems,2012,20:109-119.
[13]Pushpinder Singh.A New Method for Solving Dual Hesitant Fuzzy Assignment Problems with Restrictions Based on Similarity Measure[J].Applied Soft Computing,2014(24):559-571.
[14]Hwang C L,Yoon K.Multiple Attribute Decision Making:Methods and Applications.Berlin,Heidelberg:Verlag.