[1]赵克勤.集对分析在系统智能预测中的应用综述[J].智能系统学报,2022,17(2):233-247.[doi:10.11992/tis.202103023]
ZHAO Keqin.Application overview of set pair analysis in intelligent prediction system[J].CAAI Transactions on Intelligent Systems,2022,17(2):233-247.[doi:10.11992/tis.202103023]
点击复制
ZHAO Keqin.Application overview of set pair analysis in intelligent prediction system[J].CAAI Transactions on Intelligent Systems,2022,17(2):233-247.[doi:10.11992/tis.202103023]
集对分析在系统智能预测中的应用综述
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
17
期数:
2022年第2期
页码:
233-247
栏目:
综述
出版日期:
2022-03-05
- Title:
- Application overview of set pair analysis in intelligent prediction system
- Keywords:
- set pair analysis; system intelligent prediction; prediction model; data structure; cluster; dynamic optimization; connection number; uncertainty analysis; information ability
- 分类号:
- TP311
- 摘要:
- 凡事预则立,不预则废。但事物的预测面临不确定性干扰。本文综述集对分析理论在天气降水预报、沙尘暴预报、水文水资源和供需水预测、电力与能源预测、地质灾害预测、民航风险与事故预测、作物产量预测、流脑预测、社会经济预测等方面的应用，并把基于集对分析理论的系统智能预测建模基本步骤归纳为3步。首先，构造集对并分析集对中两个集合的全部关系，包括确定的关系和不确定的关系，根据关系的结构选用适当的联系数作为集对的特征函数；第二步，建立基于联系数的预测模型，包括利用联系数改进和完善已有的预测模型； 第三步，利用模型的计算和围绕模型的不确定性分析做出预测或预报，包括回顾性预测和当前场景下的实时预测，其中围绕模型的不确定性分析是关键,由此保证和提高预测精度；从而为不确定性系统的智能预测开辟了一条富有成效的新途径。
- Abstract:
- Preparedness ensures success, whereas unpreparedness spells failure. However, predictions are subject to uncertainty. Accordingly, this paper summarizes the application of set pair analysis theory (SPAT) in weather and precipitation forecast, sandstorm forecast, hydrology, water resources; water supply; and demand forecast, electric power and energy forecast, geological disaster forecast, civil aviation risk and accident forecast, crop yield forecast, cerebral forecast, and social economy forecast. The basic steps of intelligent prediction system modeling based on SPAT are summarized into three steps: First, a set pair is constructed; all the relationships between two sets in the set pair, including relationships that are defined and not defined, are analyzed; and proper connection numbers are selected as the characteristic function according to the relationships. Second, a prediction model based on connection numbers is established, including improving and perfecting the existing prediction models using the connection numbers. Third, a prediction or forecast is made using the calculation of the model and uncertainty analysis around the model (being the key part), including retrospective and real-time predictions under current scenarios. By doing so, the prediction accuracy is guaranteed and enhanced; thus, an effective new way toward intelligent prediction of uncertain systems is opened.
- 参考文献/References:
-
[1] 赵克勤. 集对分析对不确定性的描述和处理[J]. 信息与控制, 1995, 24(3): 162–166
ZHAO Keqin. Disposal and description of uncertainties based on the set pair analysis[J]. Information and control, 1995, 24(3): 162–166
[2] 赵克勤, 宣爱理. 集对论——一种新的不确定性理论方法与应用[J]. 系统工程, 1996, 14(1): 18–23,72
ZHAO Keqin, XUAN Aili. Set pair set pair theory-a new theory method of non -define and its applications[J]. Systems engineering, 1996, 14(1): 18–23,72
[3] 赵克勤. 集对分析及其初步应用[M]. 杭州: 浙江科学技术出版社, 2000.
ZHAO Keqin. Set pair analysis and its prelimiary application[M]. Hangzhou: Zhejiang Science and Technology Publishing House, 2000.
[4] 王国强. 不确定性理论——集对分析在MOS概率天气预报中的应用[J]. 浙江气象科技, 1999, 20(1): 1–6
WANG Guoqiang. Uncertainty-Application of set pair analysis in MOS probabilistic weather forecast[J]. Journal of Zhejiang meteorology, 1999, 20(1): 1–6
[5] 薛根元, 王国强. 不确定性理论集对分析在预报模型建立中的应用研究[J]. 气象学报, 2003, 61(5): 592–599
XUE Genyuan, WANG Guoqiang. The application research of the theory of uncertainty-set pair analysis in establishment of weather forcast models[J]. Acta meteorologica sinica, 2003, 61(5): 592–599
[6] 王国强, 赵克勤, 郑选军. 天气预报多元回归模型中模糊因子的集对分析[J]. 科技通报, 2004, 20(2): 151–155
WANG Guoqiang, ZHAO Keqin, ZHENG Xuanjun. Application of set pair analysis to fuzzy predictors of multiple regression weather forcast models[J]. Bulletin of science and technology, 2004, 20(2): 151–155
[7] 冯利华. 登陆台风降水预报[J]. 海洋通报, 2000, 19(2): 75–79
FENG Lihua. Precipitation forecast of landing typhoon[J]. Marine science bulletin, 2000, 19(2): 75–79
[8] FENG L H, SANG G S, HONG W H. Statistical prediction of changes in water resources trends based on set pair analysis[J]. Water resources management, 2014, 28(6): 1703–1711.
[9] 王繁强, 郭大梅. 不确定性理论集对分析在沙尘暴预报中的应用研究[J]. 中国沙漠, 2006, 26(2): 268–272
WANG Fanqiang, GUO Damei. Application of uncertainty-set pair analysis for sandstorm forecast in northwest of China[J]. Journal of desert research, 2006, 26(2): 268–272
[10] 王红芳, 黄伟军, 王文圣, 等. 集对分析法在长江寸滩站年径流预测中的应用[J]. 黑龙江水专学报, 2006, 33(4): 3–5
WANG Hongfang, HUANG Weijun, WANG Wensheng, et al. Cuntan station of the Yangtze river annual runoff forecasting with set pair analysis method[J]. Journal of Heilongjiang hydraulic engineering college, 2006, 33(4): 3–5
[11] 金菊良, 魏一鸣, 王文圣. 基于集对分析的水资源相似预测模型[J]. 水力发电学报, 2009, 28(1): 72–77
JIN Juliang, WEI Yiming, WANG Wensheng. Set pair analysis based on similarity forecast model of water resources[J]. Journal of hydroelectric engineering, 2009, 28(1): 72–77
[12] 刘银迪, 张小壮, 张泽中. 序位集对分析在辽河流域年降雨预测中的应用[J]. 安徽农业科学, 2011, 39(28): 17534–17536
LIU Yindi, ZHANG Xiaozhuang, ZHANG Zezhong. Application of ordinal set pair analysis in annual rainfall prediction of Liao River Basin[J]. Journal of Anhui agricultural sciences, 2011, 39(28): 17534–17536
[13] ZHANG Jinping, ZHAO Yong, LIN Xiaomin. Uncertainty analysis and prediction of river runoff with multi-time scales[J]. Water supply, 2017, 17(3): 897–906.
[14] 卢家海. 基于集对分析的径流组合预测模型[J]. 水利科技与经济, 2016, 22(11): 1–4
LU Jiahai. Runoff combination forecasting model based on SPA[J]. Water conservancy science and technology and economy, 2016, 22(11): 1–4
[15] 袁喆, 严登华, 杨志勇, 等. 集合建模在径流模拟和预测中的应用[J]. 水利学报, 2014, 45(3): 351–359
YUAN Zhe, YAN Denghua, YANG Zhiyong, et al. Ensemble model and its application in runoff simulation and forecast[J]. Journal of hydraulic engineering, 2014, 45(3): 351–359
[16] 李深奇, 肖景西, 覃光华, 等. 基于率定量化标准系数的SPA年径流预测[J]. 长江科学院院报, 2016, 33(1): 6–9
LI Shenqi, XIAO Jingxi, QIN Guanghua, et al. Prediction of annual runoff based on SPA with calibration of quantitative standard coefficient[J]. Journal of Yangtze River scientific research institute, 2016, 33(1): 6–9
[17] 刘祖发, 谭铭欣, 查悉妮, 等. 基于WD-RSPA模型的水文时间序列预测——以马口站和深圳市为例[J]. 中山大学学报(自然科学版), 2017, 56(5): 119–126,138
LIU Zufa, TAN Mingxin, ZHA Xini, et al. Hydrological time series forecasting based on WD-RSPA model—a case study of Makou Station and Shenzhen Station[J]. Acta Scientiarum Naturalium Universitatis Sunyatseni, 2017, 56(5): 119–126,138
[18] 侯泽宇, 卢文喜, 宋文博, 等. 基于有序样品聚类的集对权马尔可夫链年降水量预测模型[J]. 系统工程理论与实践, 2016, 36(4): 1066–1071
HOU Zeyu, LU Wenxi, SONG Wenbo, et al. Set pair weight Markov chain model based on sequence clustering method for dynamically predicting annual precipitation[J]. Systems engineering—theory & practice, 2016, 36(4): 1066–1071
[19] 万阳. 集对分析在年降雨量预测方面的分析和应用[J]. 西北水电, 2018(2): 22–24
WAN Yang. Analysis and application of set pair analysis in yearly precipitation forecast[J]. Northwest water power, 2018(2): 22–24
[20] 莫崇勋, 王亚芳, 阮俞理, 等. 集对分析在岩溶区流域水资源预测中的应用[J]. 水电, 2021, 47(1): 19–22,89
MO Chongxun, WANG Yafang, RUAN Yuli, et al. Application of set pair analysis in water resources prediction of karst basin[J]. Water power, 2021, 47(1): 19–22,89
[21] 何思为, 南卓铜. 使用秩次集对方法预测地下水位动态变化[J]. 四川大学学报(工程科学版), 2013, 45(S2): 55–60
HE Siwei, NAN Zhuotong. Application of rank set pair analysis method to predicting groundwater dynamics[J]. Journal of Sichuan University (engineering science edition), 2013, 45(S2): 55–60
[22] 徐源蔚, 李祚泳, 汪嘉杨. 基于集对分析的相似模型在地下水位预测中的应用[J]. 水文, 2015, 35(6): 6–10
XU Yuanwei, LI Zuoyong, WANG Jiayang. Similar forecast models of underground water level based on set pair analysis[J]. Journal of China hydrology, 2015, 35(6): 6–10
[23] ZHANG Jian, YANG Xiaohua, LI Yuqi. A refined rank set pair analysis model based on wavelet analysis for predicting temperature series[J]. International journal of numerical methods for heat & fluid flow, 2015, 25(5): 974–985.
[24] 史红波. 集对分析下的地下水位相似预测模型研究[J]. 水利科技与经济, 2017, 23(2): 37–40
SHI Hongbo. Study on groundwater level similarity prediction model based on Set Pair Analysis[J]. Water conservancy science and technology and economy, 2017, 23(2): 37–40
[25] SU Fengmei, WU Jianhua, HE Song. Set pair analysis-Markov chain model for groundwater quality assessment and prediction: a case study of Xi’an city, China[J]. Human and ecological risk assessment:an international journal, 2019, 25(1/2): 158–175.
[26] 张云云, 朱家明. 基于集对分析聚类法对中国未来生活用水量的预测[J]. 河北北方学院学报(自然科学版), 2016, 32(3): 32–36
ZHANG Yunyun, ZHU Jiaming. Prediction of future domestic water consumption based on clustering set pair analysis[J]. Journal of Hebei North University (natural science edition), 2016, 32(3): 32–36
[27] 郭彦, 金菊良, 梁忠民. 基于集对分析的区域需水量组合预测模型[J]. 水利水电科技进展, 2009, 29(5): 42–45,60
GUO Yan, JIN Juliang, LIANG Zhongmin. Combined prediction model for regional water demand based on set pair analysis[J]. Advances in science and technology of water resources, 2009, 29(5): 42–45,60
[28] 和蕊, 原晨阳, 杨思波, 等. 集对分析聚类预测法在城市生活需水量预测中的应用[J]. 水利科技与经济, 2010, 16(12): 1324–1327
HE Rui, YUAN Chenyang, YANG Sibo, et al. Set pair analysis-cluster predication method in urban domestic water demand forecasting[J]. Water conservancy science and technology and economy, 2010, 16(12): 1324–1327
[29] 汪明武, 蒋辉, 张立彪, 等. 基于联系隶属度的城市需水量预测模型[J]. 水资源与水工程学报, 2015, 26(1): 12–15,24
WANG Mingwu, JIANG Hui, ZHANG Libiao, et al. Forecast model of urban water demand based on connectional mem bership degree[J]. Journal of water resources and water engineering, 2015, 26(1): 12–15,24
[30] 周戎星, 潘争伟, 金菊良, 等. 集对分析相似预测在用水量预测中的应用[J]. 华北水利水电大学学报(自然科学版), 2016, 37(6): 67–71
ZHOU Rongxing, PAN Zhengwei, JIN Juliang, et al. Application of the method of set pair analysis based on similarity forecast model in water consumption prediction[J]. Journal of North China University of Water Resources and Electric Power (natural science edition), 2016, 37(6): 67–71
[31] 王培, 许仕荣, 唐国强, 等. 基于集对分析原理的城市需水量预测模型及其应用[J]. 资源开发与市场, 2017, 33(4): 408–410,441
WANG Pei, XU Shirong, TANG Guoqiang, et al. Model for forecast of urban water demanded based on set pair analysis and its application[J]. Resource development & market, 2017, 33(4): 408–410,441
[32] 郭旭宁, 胡铁松, 张涛, 等. 基于集对分析的供水水库群联合调度规则[J]. 系统工程理论与实践, 2014, 34(6): 1510-1516.
GUO Xuning, HU Tiesong, ZHANG Tao, et al, Water-supply multi-reservoir operating policy based on SPA[J]. Systems engineering—theory & practice, 2014, 34(6): 1510-1516.
[33] 张明, 李鹏, 周润娟. 基于集对分析的供水管网漏损预测模型[J]. 供水技术, 2012, 6(3): 28–31
ZHANG Ming, LI Peng, ZHOU Runjuan. Leakage forecast model of water supply network based on set pair analysis[J]. Water technology, 2012, 6(3): 28–31
[34] 郭钰锋, 孙頔, 于继来, 等. 集对分析理论在风电场风速区间预测中的应用[J]. 电力系统自动化, 2014, 38(2): 6–11
GUO Yufeng, SUN Di, YU Jilai, et al. Application of set pair analysis in wind speed interval prediction for wind farms[J]. Automation of electric power systems, 2014, 38(2): 6–11
[35] 杨茂, 陈郁林. 基于EMD分解和集对分析的风电功率实时预测[J]. 电工技术学报, 2016, 31(21): 86–93
YANG Mao, CHEN Yulin. Real-time prediction for wind power based on EMD and set pair analysis[J]. Transactions of China electrotechnical society, 2016, 31(21): 86–93
[36] 杨茂, 都键, 李大勇, 等. 基于集对分析聚类法的超短期风电功率区间预测[J]. 可再生能源, 2017, 35(9): 1324–1330
YANG Mao, DU Jian, LI Dayong, et al. Ultra short term wind power interval prediction with set pair analysis in cluster analysis[J]. Renewable energy resources, 2017, 35(9): 1324–1330
[37] 白静芬, 卢达, 林繁涛, 等. 基于集对分析预测的电能量值校准方法[J]. 辽宁工程技术大学学报(自然科学版), 2019, 38(2): 181–186
BAI Jingfen, LU Da, LIN Fantao, et al. Set pair analysis prediction method based calibration algorithm for electric power measurement[J]. Journal of Liaoning Technical University (natural science edition), 2019, 38(2): 181–186
[38] 彭明鸿, 方仍存. 中长期电力负荷预测的集对分析聚类算法[J]. 中国农村水利水电, 2009(1): 109–111
PENG Minghong, FANG Rengcu. Set pair analysis classified prediction method for medium and long-term load forecasting[J]. China rural water and hydropower, 2009(1): 109–111
[39] 赵高飞. 基于灰色关联度和集对分析的城市用电量预测[J]. 能源研究与利用, 2015(4): 23–25,42
ZHAO Gaofei. Urban electricty consumption prediction based on grey correlation degree and set pair analysis[J]. Energy research & utilization, 2015(4): 23–25,42
[40] 杨茂, 陈郁林. 基于秩次集对分析的风电功率实时预测研究[J]. 太阳能学报, 2016, 37(3): 584–590
YANG Mao, CHEN Yulin. Wind power real-time prediction based on rank and set pair analysis[J]. Acta energiae solaris sinica, 2016, 37(3): 584–590
[41] 叶郑庚. 采用联系数与蒙特卡洛模拟的规模化电动汽车充电负荷预测[J]. 电器与能效管理技术, 2019(20): 70–76
YE Zhenggeng. Charging load prediction of large-scale electric vehicle based on contact number and monte carlo simulation[J]. Low voltage apparatus, 2019(20): 70–76
[42] 肖白, 张婕, 姜卓, 等. 基于秩次集对分析理论的空间负荷预测方法[J]. 电力自动化设备, 2020, 40(4): 153–158
XIAO Bai, ZHANG Jie, JIANG Zhuo, et al. Spatial load forecasting method based on rank set pair analysis[J]. Electric power automation equipment, 2020, 40(4): 153–158
[43] 罗明武, 孙朝霞, 刘强民, 等. 基于集对分析理论的太阳辐照度区间预测[J]. 电力科学与工程, 2015, 31(10): 44–49
LUO Mingwu, SUN Zhaoxia, LIU Qiangmin, et al. Solar irradiance interval prediction based on set pair analysis theory[J]. Electric power science and engineering, 2015, 31(10): 44–49
[44] 陈红江, 李夕兵, 张毅. 基于集对分析法的岩爆烈度分级预测研究[J]. 南华大学学报(自然科学版), 2008, 22(4): 10–14
CHEN Hongjiang, LI Xibing, ZHANG Yi. Study on application of set pair analysis method to prediction of rockburst[J]. Journal of University of South China (science & technology edition), 2008, 22(4): 10–14
[45] 汪明武, 李丽, 金菊良. 岩爆预测的改进集对分析模型[J]. 岩土力学, 2008, 29(S1): 511–514,518
WANG Mingwu, LI Li, JIN Juliang. An improved set pair analysis model for the prediction of rockburst[J]. Rock and soil mechanics, 2008, 29(S1): 511–514,518
[46] 汪明武, 董昊, 叶晖, 等. 基于联系云-证据理论的岩爆烈度预测模型[J]. 应用数学和力学, 2018, 39(9): 1021–1029
WANG Mingwu, DONG Hao, YE Hui, et al. A connection cloud-evidence theory coupling model for prediction of rockburst intensity[J]. Applied mathematics and mechanics, 2018, 39(9): 1021–1029
[47] WANG Mingwu, LIU Qiuyan, WANG Xiao, et al. Prediction of Rockburst based on multidimensional connection cloud model and set pair analysis[J]. International journal of geomechanics, 2020, 20(1): 04019147.
[48] 赵浩杨, 石广斌, 杨振宏, 等. 基于组合赋权-改进集对分析的岩爆倾向性预测研究[J]. 金属矿山, 2121, 50(5): 71–77
ZHAO Haoyang, SHI Guangbin, YANG Zhenhong, et al. Study on rockburst tendency prediction based on combined weighting-improved set pair analysis[J]. Metal mine, 2121, 50(5): 71–77
[49] 刘晓, 唐辉明, 刘瑜. 基于集对分析和模糊马尔可夫链的滑坡变形预测新方法研究[J]. 岩土力学, 2009, 30(11): 3399–3405
[50] 桂蕾, 殷坤龙, 刘长春. 基于集对分析的巴东新城区滑坡灾害空间预测[J]. 岩石力学与工程学报, 2012, 31(S1): 2653–2659
GUI Lei, YIN Kunlong, LIU Changchun. Spatial prediction of landslide hazards in new site of Badong county based on set pair analysis[J]. Chinese journal of rock mechanics and engineering, 2012, 31(S1): 2653–2659
[51] 彭丽娟, 王飞, 李曜男. 基于集对分析理论的区域滑坡灾害易发性预测[J]. 江西建材, 2016(24): 199–200
PENG Lijuan, WANG Fei, LI Yaonan. Prediction of regional landslide susceptibility based on set pair analysis theory[J]. Jiangxi building materials, 2016(24): 199–200
[52] 段先前, 褚学伟, 李博. 基于集对分析的岩溶塌陷危险性预测评价[J]. 安全与环境学报, 2016, 16(4): 72–76
DUAN Xianqian, CHU Xuewei, LI Bo. Risk prediction and evaluation of the karst collapse based on the set pair mechanism analysis[J]. Journal of safety and environment, 2016, 16(4): 72–76
[53] 任玉鹏, 田运涛, 王高峰, 等. 白龙江流域泥石流活动趋势预测研究——以舟曲—武都角弓段为例[J]. 中国水土保持, 2018(8): 33–37
REN Yupeng, TIAN Yuntao, WANG Gaofeng, et al. Trend prediction of debris flow in Bailong River Basin[J]. Soil and water conservation in China, 2018(8): 33–37
[54] 郑丕谔, 岳成艳. 基于集对论的居民消费研究[J]. 数理统计与管理, 2003, 22(6): 36–40,23
ZHENG Pige, YUE Chengyan. SPA-Based investigation into urban inhabitant’s consumption[J]. Application of statistics and management, 2003, 22(6): 36–40,23
[55] 高洁, 盛昭瀚. 集对分析聚类预测法及其应用[J]. 系统工程学报, 2002, 17(5): 458–462
GAO Jie, SHENG Zhaohan. Method and application of set pair analysis classified prediction[J]. Journal of systems engineering, 2002, 17(5): 458–462
[56] 魏超. 长三角沿海八市区域承载力评价与预测方法研究[D]. 上海: 华东师范大学, 2015
WEI Chao. Method study of assessment and predication of regional carrying capacity of eight coastal cities in Yangtze delta area[D]. Shanghai: East China Normal University, 2015.
[57] WEI Chao, DAI Xiaoyan, YE Shufeng, et al. Prediction analysis model of integrated carrying capacity using set pair analysis[J]. Ocean & coastal management, 2016, 120: 39–48.
[58] 孙晋众, 陈世权. 一种集对分析的动态模型及其应用[J]. 系统工程, 2004, 22(5): 35–38
SUN Jinzhong, CHEN Shiquan. A dynamic model of set-pair analysis and its application[J]. Systems engineering, 2004, 22(5): 35–38
[59] 孙晋众, 陈世权. 一种基于模糊集值统计的集对预测方法[J]. 模糊系统与数学, 2009, 23(3): 56–60
SUN Jinzhong, CHEN Shiquan. A kind of set-pairs prediction method based on fuzzy set-valued statistics[J]. Fuzzy systems and mathematics, 2009, 23(3): 56–60
[60] 常志朋, 刘小弟, 张世涛. 基于高阶Markov链的重大决策社会风险变权集对预测模型[J]. 控制与决策, 2018, 33(12): 2243–2250
CHANG Zhipeng, LIU Xiaodi, ZHANG Shitao. Set pair prediction model for social risk from major decision-making based on variable weight and higher-order Markov chain[J]. Control and decision, 2018, 33(12): 2243–2250
[61] 亢永, 许开立, 刘家喜. 城市埋地燃气管道危险性SPA-Markov链评价预测模型[J]. 中国安全科学学报, 2012, 22(3): 147–152
KANG Yong, XU Kaili, LIU Jiaxi. SPA-Markov chain model for evaluating and forecasting urban buried gas pipeline risk[J]. China safety science journal, 2012, 22(3): 147–152
[62] 诸晓明, 王国强. 集对分析在城市空气污染预报中的应用研究[J]. 应用气象学报, 2006, 17(1): 124–128
ZHU Xiaoming, WANG Guoqiang. The application of set pair analysis on city air pollution index forecasting[J]. Journal of applied meteorological science, 2006, 17(1): 124–128
[63] 徐源蔚, 李祚泳, 汪嘉杨. 基于集对分析的降水酸度及水质相似预测模型研究[J]. 环境污染与防治, 2015, 37(2): 59–62,88
XU Yuanwei, LI Zuoyong, WANG Jiayang. Study on the similar forecast models of precipitation acidity and water quality based on set pair analysis[J]. Environmental pollution and control, 2015, 37(2): 59–62,88
[64] 李湘梅, 周敬宣, 陈雷, 等. 城市生态环境演变趋势的集对分析预测研究——以武汉市为例[J]. 生态环境, 2007, 16(1): 83–87
LI Xiangmei, ZHOU Jingxuan, CHEN Lei, et al. Study on trend of urban ecology and environment based on Set Pair Analysis model: a case study of Wuhan[J]. Ecology and environment, 2007, 16(1): 83–87
[65] 周敬宣, 李湘梅, 陈雷, 等. 基于集对分析的城市生态足迹预测—以武汉市为例[J]. 资源科学, 2007, 29(3): 111–116
ZHOU Jingxuan, LI Xiangmei, CHEN Lei, et al. Updating methods for dynamic assessment of ecological footprint: ——a case study of Wuhan city[J]. Resources science, 2007, 29(3): 111–116
[66] 吴开亚, 金菊良, 王玲杰, 等. 集对分析聚类预测方法在区域生态足迹趋势预测中的应用[J]. 武汉大学学报(信息科学版), 2008, 33(9): 973–977
WU Kaiya, JIN Juliang, WANG Lingjie, et al. Application of set pair analysis classified prediction method to predicting dynamic change of regional ecological footprint[J]. Geomatics and Information Science of Wuhan University, 2008, 33(9): 973–977
[67] 刘玲莉, 孙亚菲, 郑红运. 基于集对分析的民航运输事故征候预测模型研究[J]. 安全与环境工程, 2013, 20(5): 154–158
LIU Lingli, SUN Yafei, ZHENG Hongyun. prediction model of the air transport incidents of civil aviation based on set pair analysis[J]. Safety and environmental engineering, 2013, 20(5): 154–158
[68] 高扬, 王向章. 基于SPA-Markov的飞行安全态势评估与预测研究[J]. 中国安全生产科学技术, 2016, 12(8): 87–91
GAO Yang, WANG Xiangzhang. Research on assessment and prediction of flight safety situation based on SPA-Markov[J]. Journal of safety science and technology, 2016, 12(8): 87–91
[69] 张一瑫, 吴诗辉, 刘晓东, 等. 基于集对分析和马尔科夫链的航空维修安全动态评估[J]. 中国安全科学学报, 2016, 26(1): 122–128
ZHANG Yitao, WU Shihui, LIU Xiaodong, et al. Dynamic evaluation of aviation maintenance safety based on set pair analysis and Markov chain[J]. China safety science journal, 2016, 26(1): 122–128
[70] 朱昌锋. 铁路集装箱运量组合预测方法研究[J]. 兰州交通大学学报, 2010, 29(6): 141–144
ZHU Changfeng. Forecasting method of railway container freight volume combination[J]. Journal of Lanzhou Jiaotong University, 2010, 29(6): 141–144
[71] LI Yafeng, LENG Wuming, NIE Rusong, et al. A combined prediction model for subgrade settlement based on improved set pair analysis[J]. Mathematical problems in engineering, 2019, 2019: 1064246.
[72] 蒋红妍, 戴经梁. 集对分析理论在路面性能预测中的应用[J]. 中外公路, 2008, 28(4): 84–87
JIANG Hongyan, DAI Jingliang. Application of set pair analysis theory in pavement performance prediction[J]. Journal of China & foreign highway, 2008, 28(4): 84–87
[73] 尹君, 王玉杰, 吕林, 等. 基于模糊层次和集对分析的尾矿库安全评价及预测[J]. 金属矿山, 2010(10): 159–161,188
YIN Jun, WANG Yujie, LYU Ling, et al. Safety assessment and prediction of the tailing pond based on fuzzy hierarchy analysis and set pair analysis[J]. Metal mine, 2010(10): 159–161,188
[74] 念其锋, 施式亮, 李润求. 基于联系熵的煤与瓦斯突出区域预测方法[J]. 矿业工程研究, 2013, 28(3): 25–29
NIAN Qifeng, SHI Shiliang, LI Runqiu. Regional forecast method of coal and gas outburst based on connection entropy[J]. Mineral engineering research, 2013, 28(3): 25–29
[75] 侯公羽, 梁荣, 龚砚芬, 等. 煤矿长斜井TBM施工安全风险分析与趋势预测[J]. 岩土力学, 2014, 35(S2): 325–331
HOU Gongyu, LIANG Rong, GONG Yanfen, et al. Risk analysis and trend prediction of long inclined-shaft construction in coalmine by TBM[J]. Rock and soil mechanics, 2014, 35(S2): 325–331
[76] 谭翀, 陆愈实, 车恒. 集对分析法在露天采石场安全评价及预测中的应用[J]. 安全与环境学报, 2016, 16(3): 25–29
TAN Chong, LU Yushi, CHE Heng. On the application of the set pair analysis method to the safety evaluation and prediction of the open rock quarry[J]. Journal of safety and environment, 2016, 16(3): 25–29
[77] 谢力, 魏汝祥, 孙胜祥, 等. 舰船装备维修费单项预测集对分析与组合建模[J]. 系统工程与电子技术, 2017, 39(10): 2264–2269
XIE Li, WEI Ruxiang, SUN Shengxiang, et al. Individual forecast set pair analysis and combination modeling of ship equipment maintenance cost[J]. Systems engineering and electronics, 2017, 39(10): 2264–2269
[78] 金英伟, 尚晓航. 技术创新产品购买意愿分析及预测—以智能手环为例[J]. 消费经济, 2017, 33(1): 70–77
JIN Yingwei, SHANG Xiaohang. Analysis and prediction on the purchase intention of technological innovation products[J]. Consumer economics, 2017, 33(1): 70–77
[79] BU Lin, LI Shucai, SHI Shaoshuai, et al. A new advance classification method for surrounding rock in tunnels based on the set-pair analysis and tunnel seismic prediction system[J]. Geotechnical and geological engineering, 2018, 36(4): 2403–2413.
[80] 袁宏俊, 杜康, 胡凌云. 基于相对熵的最优区间型组合预测模型[J]. 统计与决策, 2020, 36(11): 26–31
YUAN Hongjun, DU Kang, HU Lingyun. Optimal interval combination forecasting model based on relative entropy[J]. Statistics and decision, 2020, 36(11): 26–31
[81] KUAI Le, FEI Xiaoya, XING Jiaqi, et al. An efficacy predictive method for diabetic ulcers based on higher-order Markov chain-set pair analysis[J]. Evidence-based complementary and alternative medicine, 2020, 2020: 5091671.
[82] 赵克勤, 赵森烽. 赵森烽-克勤概率的赌本分配研究与期望值定理[J]. 智能系统学报, 2017, 12(5): 608–615
ZHAO Keqin, ZHAO Senfeng. Distribution of gambling capital and expectation value theorem for Zhao Senfeng-Keqin probability[J]. CAAI transactions on intelligent systems, 2017, 12(5): 608–615
[83] 赵克勤, 赵森烽. 贝叶斯概率向赵森烽-克勤概率的转换与应用[J]. 智能系统学报, 2015, 10(1): 51–61
ZHAO Keqin, ZHAO Senfeng. Bayes probability transition to Zhao Senfeng-Keqin probability and its application[J]. CAAI transactions on intelligent systems, 2015, 10(1): 51–61
[84] 赵克勤. 集对分析的不确定性系统理论在AI中的应用[J]. 智能系统学报, 2006, 1(2): 16–25
ZHAO Keqin. The application of uncertainty systems theory of set pair analysis (SPU) in the artificial intelligence[J]. CAAI transactions on intelligent systems, 2006, 1(2): 16–25
[85] 赵克勤. SPA的同异反系统理论在人工智能研究中的应用[J]. 智能系统学报, 2007, 2(5): 20–35
ZHAO Keqin. The application of SPA-based identical-discrepancy-contrary system theory in artificial intelligence research[J]. CAAI transactions on intelligent systems, 2007, 2(5): 20–35
[86] 赵克勤. 基于集对分析的不确定性多属性决策模型与算法[J]. 智能系统学报, 2010, 5(1): 41–50
ZHAO Keqin. Decision making algorithm based on set pair analysis for use when facing multiple uncertain attributes[J]. CAAI transactions on intelligent systems, 2010, 5(1): 41–50
[87] 刘秀梅, 赵克勤. 集对分析在不确定性智能决策中的应用[J]. 智能系统学报, 2020, 15(1): 121–135
LIU Xiumei, ZHAO Keqin. Application of set pair analysis in the uncertainty intelligent decision making[J]. CAAI transactions on intelligent systems, 2020, 15(1): 121–135
- 相似文献/References:
-
[1]赵克勤.集对分析的不确定性系统理论在AI中的应用[J].智能系统学报,2006,1(2):16.
ZHAO Ke-qin.The application of uncertainty systems theory of set pair analysis (SPU)in the artificial intelligence[J].CAAI Transactions on Intelligent Systems,2006,1():16.
[2]赵克勤,赵森烽.贝叶斯概率向赵森烽-克勤概率的转换与应用[J].智能系统学报,2015,10(1):51.[doi:10.3969/j.issn.1673-4785.201405022]
ZHAO Keqin,ZHAO Senfeng.Bayes probability transition to Zhao Senfeng-Keqin probability and its application[J].CAAI Transactions on Intelligent Systems,2015,10():51.[doi:10.3969/j.issn.1673-4785.201405022]
[3]杨亚锋.基于集对逻辑的近似推理方法研究[J].智能系统学报,2015,10(6):921.[doi:10.11992/tis.201507044]
YANG Yafeng.Research on approximate inference method based on set pair logic[J].CAAI Transactions on Intelligent Systems,2015,10():921.[doi:10.11992/tis.201507044]
[4]赵玉铃,张廉.集对分析联系数在黑启动vague集决策中的应用研究[J].智能系统学报,2014,9(5):632.[doi:10.3969/j.issn.1673-4785.201305002]
ZHAO Yuling,ZHANG Lian.Application of the set-pair analysis connection numberin decision-making of black-start vague set[J].CAAI Transactions on Intelligent Systems,2014,9():632.[doi:10.3969/j.issn.1673-4785.201305002]
[5]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.[doi:10.11992/tis.201803030]
JIANG Yunliang,ZHAO Keqin.Application and development of set pair analysis in artificial intelligence: a survey[J].CAAI Transactions on Intelligent Systems,2019,14():28.[doi:10.11992/tis.201803030]
[6]杨红梅,赵克勤.偏联系数的计算与应用研究[J].智能系统学报,2019,14(5):865.[doi:10.11992/tis.201810022]
YANG Hongmei,ZHAO Keqin.The calculation and application of partial connection numbers[J].CAAI Transactions on Intelligent Systems,2019,14():865.[doi:10.11992/tis.201810022]
[7]刘秀梅,赵克勤.集对分析在不确定性智能决策中的应用[J].智能系统学报,2020,15(1):121.[doi:10.11992/tis.201910025]
LIU Xiumei,ZHAO Keqin.Application of set pair analysis in the uncertainty intelligent decision making[J].CAAI Transactions on Intelligent Systems,2020,15():121.[doi:10.11992/tis.201910025]
[8]崔铁军,李莎莎.基于集对分析的SFT特征函数重构及性质研究[J].智能系统学报,2022,17(1):131.[doi:10.11992/tis.202007020]
CUI Tiejun,LI Shasha.Reconstruction of SFT characteristic function and its properties based on set pair analysis[J].CAAI Transactions on Intelligent Systems,2022,17():131.[doi:10.11992/tis.202007020]
[9]崔铁军,李莎莎.多因素集对分析的系统故障模式识别方法[J].智能系统学报,2022,17(2):387.[doi:10.11992/tis.202011006]
CUI Tiejun,LI Shasha.System fault-pattern recognition based on set pair analysis with multiple factors[J].CAAI Transactions on Intelligent Systems,2022,17():387.[doi:10.11992/tis.202011006]
[10]崔铁军,李莎莎.联系数和属性多边形的系统故障模式识别[J].智能系统学报,2022,17(3):568.[doi:10.11992/tis.202011019]
CUI Tiejun,LI Shasha.System fault pattern recognition based on the connection number and attribute polygon[J].CAAI Transactions on Intelligent Systems,2022,17():568.[doi:10.11992/tis.202011019]
备注/Memo
收稿日期:2021-03-15。
基金项目:2020年诸暨市联系数学研究所创新项目（2020101）
作者简介:赵克勤，研究员，中国人工智能学会第5、6、7届理事，人工智能基础专业委员会副主任，主要研究方向为集对分析暨联系数学。1989年提出集对分析（联系数学），1998提建联系科学。发表学术论文140余篇，出版专著5部
通讯作者:赵克勤.E-mail:zjzhaok@sohu.com
更新日期/Last Update:
1900-01-01