淡江大學機構典藏:Item 987654321/106435
English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 55241/89544 (62%)
造访人次 : 10730550      在线人数 : 25
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜寻范围 查询小技巧:
  • 您可在西文检索词汇前后加上"双引号",以获取较精准的检索结果
  • 若欲以作者姓名搜寻,建议至进阶搜寻限定作者字段,可获得较完整数据
  • 进阶搜寻


    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/106435


    题名: Job Selection via the Internet by Considering Personal Preference Using Fussy Goal Programming
    作者: Chen, Chih-yung;Su, Chia-rong;Tu, Jih-Fu;Lin, Chang-Ching
    关键词: Fuzzy Goal Programming (FGP);K- nearest Neighbor's Algorithm
    日期: 2015-10-25
    上传时间: 2016-04-27 11:13:01 (UTC+8)
    摘要: Looking for an appropriate job is important for an upcoming graduated or unemployed people. When people turn on the computer browser and seek employment or look for the work from the Google search engine in Taiwan, there are at least over 3 seeking employment websites. People may be enter any website again according to the work of own interest, but the web sites always return thousands of jobs, the seekers have to take the time to browse individually, this is the shortcoming that the general website presents. For personal decision-making, the website should provide according to the personal preference profile to make the best suggestion. It had better to provide to the user 5 to 10 having the work of success probability. This article is based on Fuzzy GP method combined k-nearest neighbor’s algorithm according to the preference value that the user establishes, and coordinate with the information provided by the personnel needs company to match job. Finally made the best place suggestion by the system.
    關聯: 2015 International Conference on Innovation, Communication and Engineering (ICICE 2015)
    显示于类别:[管理科學學系暨研究所] 會議論文

    文件中的档案:

    档案 描述 大小格式浏览次数
    index.html0KbHTML152检视/开启

    在機構典藏中所有的数据项都受到原著作权保护.

    TAIR相关文章

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - 回馈