基于马氏距离及最差理想解的TOPSIS出租房源推荐系统应用研究
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摘要
通过对综合排序方法 TOPSIS法的研究,实现了一个将马氏距离及最差理想解相结合改进TOPSIS法的出租房源推荐系统,该系统通过分布式爬虫模块抓取各大租房网站的出租房源信息,存入MongoDB数据库中,利用Spring boot框架读取MongoDB中的出租房源数据,调用将马氏距离和最差理想解相结合改进的TOPSIS法对出租房源数据进行综合评价,评价过程依据出租房源数据的面积、租金、通过经纬度求得的距离属性和输入的目标地点进行计算和决策.此后,将评价的最终结果以排序分组的形式显示在高德地图图标上,租房者点击图标会显示该出租房源的具体数据信息,输入的目地点后会出现相应距离和乘车路线及时长.点击图标上方的具体房源信息,则会跳转到相应租房网站.该系统满足了侧重点不同的租房群体查找出租房源信息的需求,具有很高的实用价值.
A rental housing recommendation system of improved TOPSIS method of integrating Markov distance and the worst ideal solution is realized,The system uses the distributed crawler system module to capture the rental listings of the rental websites.The information is stored in the MongoDB database,the Spring boot framework is used to read the rental listing data in MongoDB,and the improved TOPSIS method is called to evaluate the rental housing data comprehensively by the area,rent,distance and destination location of the rental housing data.then the final result of the evaluation is displayed on the map icon,when the renter clicks the icon.The specific information of the rental availability will be show.Click on the specific rental information above the icon,the system will jump to the corresponding rental site.The system greatly meets the needs of renting information for rental groups with different emphases,and has high practical value.
A rental housing recommendation system of improved TOPSIS method of integrating Markov distance and the worst ideal solution is realized,The system uses the distributed crawler system module to capture the rental listings of the rental websites.The information is stored in the MongoDB database,the Spring boot framework is used to read the rental listing data in MongoDB,and the improved TOPSIS method is called to evaluate the rental housing data comprehensively by the area,rent,distance and destination location of the rental housing data.then the final result of the evaluation is displayed on the map icon,when the renter clicks the icon.The specific information of the rental availability will be show.Click on the specific rental information above the icon,the system will jump to the corresponding rental site.The system greatly meets the needs of renting information for rental groups with different emphases,and has high practical value.
引文
[1]何正柯.TOPSIS多属性决策方法的改进研究[D].辽宁鞍山:辽宁科技大学,2017.HE Z K.Improved Research of Multi-attribute Decision Making Method[D].Anshan,Liaoning:University of Science and Technology Liaoning,2017.(Ch).
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[7]李敬.基于动态加权序列的财务管理系统TOPSIS评价方法[J].统计与决策,2016(21):171-173.LI J.TOPSIS evaluation method for financial management system based on dynamic weighted sequence[J].Statistics&Decision,2016(21):171-173.(Ch).
[8]刘晓峰,远亚丽.基于改进TOPSIS法的第三方物流供应商选择[J].物流科技,2011,34(3):102-105.LIU X F,YUAN Y L.Selection of third party Logistics Supplier based on improved TOPSIS method[J].Journal of Logistics Science,2011,34(3):102-105.(Ch).
[9]信桂新,杨朝现,杨庆媛,等.用熵权法和改进TOPSIS模型评价高标准基本农田建设后效应[J].农业工程学报,2017,33(1):238-249.XIN G X,YANG C X,YANG Q Y,et al.Effect of evaluating high standard basic farmland construction by entropy weight method and improved TOPSIS model[J].Transactions of the Chinese Society of Agricultural Engineering,2017,33(1):238-249.(Ch).
[2] RAMESH S,VISWANATHAN R,AMBIKA S.Measurement and optimization of surface roughness and tool wear via grey relational analysis,TOPSIS and RSA techniques[J].Measurement,2016,78:63-72.
[3]王先甲,汪磊.基于马氏距离的改进型TOPSIS在供应商选择中的应用[J].控制与决策,2012,27(10):1566-1570.WANG X J,WANG L.Application of improved TOPSIS based on Mahalanobis distance in supplier selection[J].Control and Decision,2012,27(10):1566-1570.(Ch).
[4]谢小美.基于多信息融合的Web服务综合排序技术研究[D].南昌:江西财经大学,2015.XIE X M.Research of Web service Integrated Sorting Technology based on Multi-information Fusion[D].Nanchang:Jiangxi University of Finance and Economics,2015.(Ch).
[5]孙若男,张斌,刘婷婷.一种使用改进熵权TOPSIS的Web服务质量评价排序方法[J].小型微型计算机系统,2017,38(6):1221-1226.SUN R N,ZHANG B,LIU T T.A web service quality evaluation ranking method of using improved entropy weight TOPSIS[J].Journal of Chinese Computer Systems,2017,38(6):1221-1226.(Ch).
[6]慈铁军.基于决策者偏好的区间数多属性决策方法研究[D].天津:河北工业大学,2014.CI T J.Research on Interval Number Multi-attribute Decision Making Method based on Decision Maker Preference[D].Tianjin:Hebei University of Technology,2014.(Ch).
[7]李敬.基于动态加权序列的财务管理系统TOPSIS评价方法[J].统计与决策,2016(21):171-173.LI J.TOPSIS evaluation method for financial management system based on dynamic weighted sequence[J].Statistics&Decision,2016(21):171-173.(Ch).
[8]刘晓峰,远亚丽.基于改进TOPSIS法的第三方物流供应商选择[J].物流科技,2011,34(3):102-105.LIU X F,YUAN Y L.Selection of third party Logistics Supplier based on improved TOPSIS method[J].Journal of Logistics Science,2011,34(3):102-105.(Ch).
[9]信桂新,杨朝现,杨庆媛,等.用熵权法和改进TOPSIS模型评价高标准基本农田建设后效应[J].农业工程学报,2017,33(1):238-249.XIN G X,YANG C X,YANG Q Y,et al.Effect of evaluating high standard basic farmland construction by entropy weight method and improved TOPSIS model[J].Transactions of the Chinese Society of Agricultural Engineering,2017,33(1):238-249.(Ch).