The Research on Mobile TV Customer Satisfaction Degree Based on Rough Set

被引：0
|
作者：
Liang, Zhengli [1 ]
Wu, Jian [1 ]
Yu, Keyao [1 ]
机构：
[1] Commun Univ China, Sch Econ & Management, Beijing, Peoples R China
来源：
2015 8TH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID), VOL 1 | 2015年
基金：
中国国家自然科学基金;
关键词：
mobile TV; customer satisfaction degree; rough set; weighted average evaluation;
D O I：
10.1109/ISCID.2015.292
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A customer satisfaction degree model based on the theory of customer satisfaction by using the rough set and the weighted average evaluation methods is built in this paper. The investigative data of twelve different kinds of mobile TV are obtained by questionnaire, and we use the rough set conditional information entropy method to determine the weights of index in the model. Finally the scores of each mobile TV are calculated by the weighted average evaluation method.
引用
收藏
页码：340 / 345
页数：6
相关论文
共 50 条
  • [1] Rough set approach to customer satisfaction analysis
    Greco, Salvatore
    Matarazzo, Benedetto
    Slowinski, Roman
    [J]. Rough Sets and Current Trends in Computing, Proceedings, 2006, 4259 : 284 - 295
  • [2] RETRACTED: Customer Satisfaction Degree Evaluation Based on Rough set theory and Matter Elements Model (Retracted Article)
    Zhou Qingyuan
    [J]. 2009 INTERNATIONAL CONFERENCE ON INDUSTRIAL AND INFORMATION SYSTEMS, PROCEEDINGS, 2009, : 224 - +
  • [3] Research on evaluation of e-business customer's satisfaction degree based on fuzzy set
    Zhou, Zhihong
    [J]. Journal of Convergence Information Technology, 2012, 7 (18) : 274 - 282
  • [4] Overview on Research of Customer Satisfaction Degree
    Sun Xiaoling
    Liu Ruihan
    Lu Ruixue
    [J]. PROCEEDINGS OF 2012 EXCHANGE CONFERENCE - INTERNATIONAL MARKETING SCIENCE AND INFORMATION TECHNOLOGY, 2012, : 121 - 127
  • [5] The Application Research of Rough Set on Customer Risk
    Guan, Hong-jun
    [J]. INFORMATION TECHNOLOGY FOR MANUFACTURING SYSTEMS, PTS 1 AND 2, 2010, : 731 - 734
  • [6] Evaluation Model of Patient Satisfaction Degree and Empirical Analysis Based on Rough Set
    Lu-xiaoyong
    Li-Liqing
    Zhou-Xiaogang
    [J]. ADVANCING KNOWLEDGE DISCOVERY AND DATA MINING TECHNOLOGIES, PROCEEDINGS, 2009, : 35 - 39
  • [7] Research on Customer Value' Data Mining Model Based on Rough Set
    He, Weihong
    Zhong, Jiaming
    Liu, Zhihui
    [J]. 2009 INTERNATIONAL CONFERENCE ON E-BUSINESS AND INFORMATION SYSTEM SECURITY, VOLS 1 AND 2, 2009, : 490 - +
  • [8] Research of Customer Classification Based on Rough Set Using Rosetta Software
    Shen, Liangzhong
    Chen, Shenkai
    [J]. PROCEEDINGS OF THE 2012 INTERNATIONAL CONFERENCE ON COMMUNICATION, ELECTRONICS AND AUTOMATION ENGINEERING, 2013, 181 : 837 - 843
  • [9] A research on customer satisfaction degree in TPL Enterprises
    Hao Yunlian
    [J]. PROCEEDINGS OF THE 14TH INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT, VOLS A AND B: BUILDING CORE COMPETENCIES THROUGH IE&EM, 2007, : 660 - 661
  • [10] A Rough-Set-Based Approach to Selecting Elements Critical to Overall Customer Satisfaction
    Ahmady, Ali
    Malzahn, Don
    Cheraghi, S. Hossein
    [J]. 16TH ISSAT INTERNATIONAL CONFERENCE ON RELIABILITY AND QUALITY IN DESIGN, 2010, : 362 - +
12345