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·860· 智能系统学报 第14卷 ables[J].Fuzzy sets and systems,1982,8(1):81-92 [24]汪培庄,郭嗣踪,包研科,等.因素空间中的因素分析法 [9]汪培庄,SUGENO M.因素场与模糊集的背景结构[U )辽宁工程技术大学学报(自然科学版),2014,33(7): 模糊数学1982(2):45-54。 865-870. WANG Peizhuang,SUGENO M.The factors field and WANG Peizhuang,GUO Sicong,BAO Yanke,et al. background structure for fuzzy subsets[J].Fuzzy mathem- Causality analysis in factor spaces[J].Journal of Liaoning atics,1982(2):45-54. Technical University (Natural Science),2014,33(7): [1O]汪培庄.模糊集合论及其应用M).上海:上海科技出版 865-870. 社.1983. [25]汪培庄.因素空间与数据科学[).辽宁工程技术大学学 [11]汪培庄,李洪兴.模糊系统理论与模糊计算机[M.北 报(自然科学版),2015,34(2)273-280. 京:科学出版社.1996. WANG Peizhuang.Factor spaces and data science[J]. [12]汪培庄.模糊集与随机集落影M).北京:北京师范大学 Journal of Liaoning Technical University (Natural Sci- 出版社,1985 ence),2015,34(2):273-280. [13]汪培庄,张大志.思维的数学形式初探).高等应用数 [26]汪培庄.因素空间与因素库简介(特约报告)].智能科 学学报,1986,1(1):85-95 学与数学论坛,葫芦岛,2014:6. WANG Peizhuang,ZHANG Dazhi.An exploratory study [27)]石勇.大数据与科技新挑战).科技促进发展,2014, on mathematical form of ideology[J].Applied mathemat- 10(1)25-30. ics a journal of chinese universities,1986,1(1):85-95. SHI Yong.Big data and new challenges for science and [14]WANG Peizhuang.A factor spaces approach to know- technology[J].Science and technology for development, ledge representation[J].Fuzzy sets and systems,1990, 2014.10(1:25-30 36(1):113-124 [28]陈永义,刘云丰,汪培庄.综合评判的数学模型).模糊 [15]WANG Peizhuang.Fuzziness vs randomness,falling 数学,1983(1):63-69 shadow theory[J].Bulletin sur les sous ensembles flous et CHEN Yongyi,LIU Yunfeng,WANG Peizhuang.The leurs applications,1991(48):123-141 mathematical model of comprehensive evaluation[J]. [16]汪培庄.因素空间与概念描述).软件学报,1992,3(1): Fuzzy mathematics,1983(1):63-69. 30-40. [29]LI Hongxing,LI Lingxia,WANG Jiayin,et al.Fuzzy de- WANG Peizhuang.Factor space and description of con- cision making based on variable weights[J].Mathematic- cepts[J].Journal of software,1992,3(1):30-40. al and computer modelling,2004,39(2/3):163-179. [17]WANG Peizhuang,LOE K F.Between mind and com- [30]李洪兴.因素空间理论因素空间理论及其应用[C/智 puter:fuzzy science and engineering[M].Singapore: 能科学与数学论坛.葫芦岛,中国,2014 World Scientific Publishing,1994. [31]李德毅.认知物理学(特约报告)CV/东方思维与模糊逻 [18]汪培庄,李洪兴.知识表示的数学理论M.天津:天津 辑一纪念模糊集诞生五十周年国际会议.大连,中国 科学技术出版社,1994. 2015:8. [19]汪培庄,李洪兴.模糊系统理论与模糊计算机M.北 [32]ZENG Wenyi,FENG Shuang.Approximate reasoning al- 京:科学出版社,1996. gorithm of interval-valued fuzzy sets based on least [20]WANG Peizhuang,ZHANG Xinghu,LU Hochuong,et square method[J].Information sciences,2014,272: al.Mathematical theory of truth-valued flow inference[J]. 73-83. Fuzzy sets and systems,1995,72(2):221-238 [33]ZENG Wenyi,FENG Shuang.An improved comprehens- [21]WANG Peizhuang,JIANG A.Rules detecting and rules- ive evaluation model and its application[J].International data mutual enhancement based on factors space journal of computational intelligence systems,2014,7(4): theory[J].International journal of information technology 706-714. and decision making,2002,1(1):73-90. [34]LI Deqing,ZENG Wenyi,LI Junhong.Note on uncertain [22]汪培庄.因素空间与因素库[).辽宁工程技术大学学 linguistic Bonferroni mean operators and their applica- 报(自然科学版),2013,32(10):1297-1304 tion to multiple attribute decision making[J].Applied WANG Peizhuang.Factor spaces and factor data- mathematical modelling,2015,39(2):894-900. bases[J].Journal of Liaoning Technical University (Nat- [35]LI Deqing,ZENG Wenyi,ZHAO Yibin.Note on dis- ural Science),2013.,32(10):1297-1304. tance measure of hesitant fuzzy sets[J].Information sci- [23]WANG Peizhuang,LIU Zengliang L,SHI Yong,et al. ences..2015,321:103-115. Factor space,the theoretical base of data science[J].An- [36]LI Deqing,ZENG Wenyi,LI Junhong.New distance and nals of data science,2014,1(2):233-251. similarity measures on hesitant fuzzy sets and their ap-ables[J]. Fuzzy sets and systems, 1982, 8(1): 81–92. 汪培庄, SUGENO M. 因素场与模糊集的背景结构 [J]. 模糊数学, 1982(2): 45–54. WANG Peizhuang, SUGENO M. The factors field and background structure for fuzzy subsets[J]. Fuzzy mathem￾atics, 1982(2): 45–54. [9] 汪培庄. 模糊集合论及其应用 [M]. 上海: 上海科技出版 社, 1983. [10] 汪培庄, 李洪兴. 模糊系统理论与模糊计算机 [M]. 北 京: 科学出版社, 1996. [11] 汪培庄. 模糊集与随机集落影 [M]. 北京: 北京师范大学 出版社, 1985. [12] 汪培庄, 张大志. 思维的数学形式初探 [J]. 高等应用数 学学报, 1986, 1(1): 85–95. WANG Peizhuang, ZHANG Dazhi. An exploratory study on mathematical form of ideology[J]. Applied mathemat￾ics a journal of chinese universities, 1986, 1(1): 85–95. [13] WANG Peizhuang. A factor spaces approach to know￾ledge representation[J]. Fuzzy sets and systems, 1990, 36(1): 113–124. [14] WANG Peizhuang. Fuzziness vs randomness, falling shadow theory[J]. Bulletin sur les sous ensembles flous et leurs applications, 1991(48): 123–141. [15] 汪培庄. 因素空间与概念描述 [J]. 软件学报, 1992, 3(1): 30–40. WANG Peizhuang. Factor space and description of con￾cepts[J]. Journal of software, 1992, 3(1): 30–40. [16] WANG Peizhuang, LOE K F. Between mind and com￾puter: fuzzy science and engineering[M]. Singapore: World Scientific Publishing, 1994. [17] 汪培庄, 李洪兴. 知识表示的数学理论 [M]. 天津: 天津 科学技术出版社, 1994. [18] 汪培庄, 李洪兴. 模糊系统理论与模糊计算机 [M]. 北 京: 科学出版社, 1996. [19] WANG Peizhuang, ZHANG Xinghu, LU Hochuong, et al. Mathematical theory of truth-valued flow inference[J]. Fuzzy sets and systems, 1995, 72(2): 221–238. [20] WANG Peizhuang, JIANG A. Rules detecting and rules￾data mutual enhancement based on factors space theory[J]. International journal of information technology and decision making, 2002, 1(1): 73–90. [21] 汪培庄. 因素空间与因素库 [J]. 辽宁工程技术大学学 报 (自然科学版), 2013, 32(10): 1297–1304. WANG Peizhuang. Factor spaces and factor data￾bases[J]. Journal of Liaoning Technical University (Nat￾ural Science), 2013, 32(10): 1297–1304. [22] WANG Peizhuang, LIU Zengliang L, SHI Yong, et al. Factor space, the theoretical base of data science[J]. An￾nals of data science, 2014, 1(2): 233–251. [23] 汪培庄, 郭嗣琮, 包研科, 等. 因素空间中的因素分析法 [J]. 辽宁工程技术大学学报(自然科学版), 2014, 33(7): 865–870. WANG Peizhuang, GUO Sicong, BAO Yanke, et al. Causality analysis in factor spaces[J]. Journal of Liaoning Technical University (Natural Science), 2014, 33(7): 865–870. [24] 汪培庄. 因素空间与数据科学 [J]. 辽宁工程技术大学学 报 (自然科学版), 2015, 34(2): 273–280. WANG Peizhuang. Factor spaces and data science[J]. Journal of Liaoning Technical University (Natural Sci￾ence), 2015, 34(2): 273–280. [25] 汪培庄. 因素空间与因素库简介 (特约报告)[R]. 智能科 学与数学论坛, 葫芦岛, 2014: 6. [26] 石勇. 大数据与科技新挑战 [J]. 科技促进发展, 2014, 10(1): 25–30. SHI Yong. Big data and new challenges for science and technology[J]. Science and technology for development, 2014, 10(1): 25–30. [27] 陈永义, 刘云丰, 汪培庄. 综合评判的数学模型 [J]. 模糊 数学, 1983(1): 63–69. CHEN Yongyi, LIU Yunfeng, WANG Peizhuang. The mathematical model of comprehensive evaluation[J]. Fuzzy mathematics, 1983(1): 63–69. [28] LI Hongxing, LI Lingxia, WANG Jiayin, et al. Fuzzy de￾cision making based on variable weights[J]. Mathematic￾al and computer modelling, 2004, 39(2/3): 163–179. [29] 李洪兴. 因素空间理论//因素空间理论及其应用 [C]//智 能科学与数学论坛. 葫芦岛, 中国, 2014. [30] 李德毅. 认知物理学 (特约报告)[C]//东方思维与模糊逻 辑—纪念模糊集诞生五十周年国际会议. 大连, 中国, 2015: 8. [31] ZENG Wenyi, FENG Shuang. Approximate reasoning al￾gorithm of interval-valued fuzzy sets based on least square method[J]. Information sciences, 2014, 272: 73–83. [32] ZENG Wenyi, FENG Shuang. An improved comprehens￾ive evaluation model and its application[J]. International journal of computational intelligence systems, 2014, 7(4): 706–714. [33] LI Deqing, ZENG Wenyi, LI Junhong. Note on uncertain linguistic Bonferroni mean operators and their applica￾tion to multiple attribute decision making[J]. Applied mathematical modelling, 2015, 39(2): 894–900. [34] LI Deqing, ZENG Wenyi, ZHAO Yibin. Note on dis￾tance measure of hesitant fuzzy sets[J]. Information sci￾ences, 2015, 321: 103–115. [35] LI Deqing, ZENG Wenyi, LI Junhong. New distance and similarity measures on hesitant fuzzy sets and their ap- [36] ·860· 智 能 系 统 学 报 第 14 卷
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