·736· 智能系统学报 第17卷 476-486 双重多属性决策方法.计算机与数字工程，2019， ZHAO Keqin.The theoretical basis and basic algorithm 47(4:769-772.805 of binary connection A+Bi and its application in Al[J]. WANG Haibo,CHEN Yanping.A dual attribute mul- CAAI transactions on intelligent systems,2008,3(6): tiple decision making method based on triangular fuzzy 476-486. number of two element connection number[J.Com. [16]蒋云良，赵克勤.集对分析在人工智能中的应用与进 puter digital engineering,2019,47(4):769-772,805. 展)，智能系统学报，2019,14(1少28-43. [24]刘卫锋，王东晓.基于二元联系数距离的不确定语言 JIANG Yunliang,ZHAO Keqin.Application and devel- 多属性决策模型).数学的实践与认识，2012,42(21) opment of set pair analysis in artificial intelligence:a 148-153 survey[J].CAAI transactions on intelligent systems, LIU Weifeng,WANG Dongxiao.An uncertain linguist- 2019,141):28-43 ic multi-attribute decision-making model based on bin- [17刀蒋云良，赵克勤.人工智能集对分析M.北京：科学出 ary connection number distance[J].Mathematics in prac- 版社，2017. tice and theory,2012,42(21):148-153. [18]王霞.二元联系数的多准则直觉模糊决策).智能系 [25] SHEN Qing,HUANG Xu,LIU Yong,et al.Multiattrib- 统学报，2010,5(5)454-457. ute decision making based on the binary connection WANG Xia.The multi-criteria intuitionistic fuzzy de- number in set pair analysis under an interval-valued intu- cision-making based on a binary connection number[J]. itionistic fuzzy set environment[J].Soft computing, CAAI transactions on intelligent systems,2010,5(5): 2020,2410少：7801-7809. 454-457. [26]SHEN Qing.LOU Jungang,LIU Yong,et al.Hesitant [19]江文奇，王晨晨，尚优，等.基于二元联系数的区间直 fuzzy multi-attribute decision making based on binary 觉模糊数多准则决策方法[】.控制与决策，2017， connection number of set pair analysis[J.Soft comput- 32(10:1849-1854 ing,2021,25(23):14797-14807. JIANG Wenqi,WANG Chenchen,SHANG You,et al. [27]张慧敏，李小南.基于冲突分析的犹豫模糊多属性决 Method of interval-valued intuitionistic fuzzy multiple 策[U.模式识别与人工智能，2020,33(7)：610-618. attribute decision making based on binary connection ZHANG Huimin,LI Xiaonan.Hesitant fuzzy multi-at- number[J].Control and decision,2017,32(10): tribute decision making based on conflict analysis[J]. 1849-1854 Pattern recognition and artificial intelligence,2020, [20]贺颖，赵罡，修睿.一种区间数-二元联系数转换的模 33(7:610-618. 糊决策改进算法[】.控制与决策，2020,35(10)： 作者简介： 2442-2448. 申情，副教授，主要研究方向为智 HE Ying,ZHAO Gang,XIU Rui.An improved fuzzy 能信息处理、模糊决策。 decision making algorithm for interval number-binary connection number conversion[J].Control and decision, 2020,35(10y:2442-2448. [21]汪新凡，王坚强，杨小娟.基于二元联系数的信息不完 全的群决策方法[J].管理工程学报，2014,28(1)： 202-208.213 蒋云良，教授，博士生导师，主要 WANG Xinfan,WANG Jianqiang,YANG Xiaojuan. 研究方向为智能信息处理、地理信息 Group decision making approaches based on binary con- 系统。 nection number with incomplete information[J].Journal of industrial engineering and engineering management, 2014,28(1):202-208,213. [22]汪新凡，王坚强，杨恶恶.基于二元联系数集结算子的 多准则群决策方法[J].控制与决策，2013,28(11)： 张雄涛，副教授，主要研究方向为 1630-1636 模式识别、模糊系统。 WANG Xinfan,WANG Jiangiang,YANG Wue.Mul- tiple criteria group decision making method based on binary connection number aggregation operators[J]. Control and decision,2013,28(11):1630-1636. [23]王海波，陈彦萍.一种基于三角模糊数的二元联系数476–486. ZHAO Keqin. The theoretical basis and basic algorithm of binary connection A+Bi and its application in AI[J]. CAAI transactions on intelligent systems, 2008, 3(6): 476–486. 蒋云良, 赵克勤. 集对分析在人工智能中的应用与进 展 [J]. 智能系统学报, 2019, 14(1): 28–43. JIANG Yunliang, ZHAO Keqin. Application and devel￾opment of set pair analysis in artificial intelligence: a survey[J]. CAAI transactions on intelligent systems, 2019, 14(1): 28–43. [16] 蒋云良, 赵克勤. 人工智能集对分析 [M]. 北京: 科学出 版社, 2017. [17] 王霞. 二元联系数的多准则直觉模糊决策 [J]. 智能系 统学报, 2010, 5(5): 454–457. WANG Xia. The multi-criteria intuitionistic fuzzy de￾cision-making based on a binary connection number[J]. CAAI transactions on intelligent systems, 2010, 5(5): 454–457. [18] 江文奇, 王晨晨, 尚优, 等. 基于二元联系数的区间直 觉模糊数多准则决策方法 [J]. 控制与决策, 2017, 32(10): 1849–1854. JIANG Wenqi, WANG Chenchen, SHANG You, et al. Method of interval-valued intuitionistic fuzzy multiple attribute decision making based on binary connection number[J]. Control and decision, 2017, 32(10): 1849–1854. [19] 贺颖, 赵罡, 修睿. 一种区间数–二元联系数转换的模 糊决策改进算法 [J]. 控制与决策, 2020, 35(10): 2442–2448. HE Ying, ZHAO Gang, XIU Rui. An improved fuzzy decision making algorithm for interval number-binary connection number conversion[J]. Control and decision, 2020, 35(10): 2442–2448. [20] 汪新凡, 王坚强, 杨小娟. 基于二元联系数的信息不完 全的群决策方法 [J]. 管理工程学报, 2014, 28(1): 202–208,213. WANG Xinfan, WANG Jianqiang, YANG Xiaojuan. Group decision making approaches based on binary con￾nection number with incomplete information[J]. Journal of industrial engineering and engineering management, 2014, 28(1): 202–208,213. [21] 汪新凡, 王坚强, 杨恶恶. 基于二元联系数集结算子的 多准则群决策方法 [J]. 控制与决策, 2013, 28(11): 1630–1636. WANG Xinfan, WANG Jianqiang, YANG Wue. Mul￾tiple criteria group decision making method based on binary connection number aggregation operators[J]. Control and decision, 2013, 28(11): 1630–1636. [22] [23] 王海波, 陈彦萍. 一种基于三角模糊数的二元联系数 双重多属性决策方法 [J]. 计算机与数字工程, 2019, 47(4): 769–772,805. WANG Haibo, CHEN Yanping. A dual attribute mul￾tiple decision making method based on triangular fuzzy number of two element connection number[J]. Com￾puter & digital engineering, 2019, 47(4): 769–772,805. 刘卫锋, 王东晓. 基于二元联系数距离的不确定语言 多属性决策模型 [J]. 数学的实践与认识, 2012, 42(21): 148–153. LIU Weifeng, WANG Dongxiao. An uncertain linguist￾ic multi-attribute decision-making model based on bin￾ary connection number distance[J]. Mathematics in prac￾tice and theory, 2012, 42(21): 148–153. [24] SHEN Qing, HUANG Xu, LIU Yong, et al. Multiattrib￾ute decision making based on the binary connection number in set pair analysis under an interval-valued intu￾itionistic fuzzy set environment[J]. Soft computing, 2020, 24(10): 7801–7809. [25] SHEN Qing, LOU Jungang, LIU Yong, et al. Hesitant fuzzy multi-attribute decision making based on binary connection number of set pair analysis[J]. Soft comput￾ing, 2021, 25(23): 14797–14807. [26] 张慧敏, 李小南. 基于冲突分析的犹豫模糊多属性决 策 [J]. 模式识别与人工智能, 2020, 33(7): 610–618. ZHANG Huimin, LI Xiaonan. Hesitant fuzzy multi-at￾tribute decision making based on conflict analysis[J]. Pattern recognition and artificial intelligence, 2020, 33(7): 610–618. [27] 作者简介： 申情，副教授，主要研究方向为智 能信息处理、模糊决策。 蒋云良，教授，博士生导师，主要 研究方向为智能信息处理、地理信息 系统。 张雄涛，副教授，主要研究方向为 模式识别、模糊系统。 ·736· 智 能 系 统 学 报 第 17 卷