Establishment Decision Rules for Turnover of Nursing Staff - Applying Rough Set Theory

被引：0
|
作者：
Fang, Chung-Hsiung [1 ]
Chang, Sue-Ting [1 ]
Chen, Guan-Li [1 ]
机构：
[1] Natl Taiwan Normal Univ, Grad Inst Ind Technol Educ, Taipei, Taiwan
来源：
2009 INTERNATIONAL CONFERENCE ON E-BUSINESS AND INFORMATION SYSTEM SECURITY, VOLS 1 AND 2 | 2009年
关键词：
Decision Rules; Rough Set Theory; natural language; MODEL; CARE;
D O I：
暂无
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
The research investigated the rules relevant with leaving reasons and personal characteristic variables of nursing staff by Rough Set Theory (RST). RST can discover the important facts hidden in the data and describe them with natural language. That is it can describe the information provided by researchers in a broad sense and delete the redundant part of original data for the decision rules setting. It is expected the research can establish rules related with leaving reasons and personal characteristics variables of nursing staff. The study conducted analysis on 458 persons' data that include six attributes - age, marriage status, education, seniority, service department and dimission reasons to propose concerned suggestions and comments based on the research result as reference for Hospital A and other hospitals as well as relevant academic institutions.
引用
收藏
页码：1271 / 1275
页数：5
相关论文
共 50 条
  • [1] Method of inducing decision rules based on rough set theory
    Xia, Yu-Jia
    Li, Shao-Yuan
    Xi, Yu-Geng
    [J]. Kongzhi yu Juece/Control and Decision, 2001, 16 (05): : 577 - 580
  • [2] Incremental learning of decision rules based on rough set theory
    Tong, LY
    An, LP
    [J]. PROCEEDINGS OF THE 4TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-4, 2002, : 420 - 425
  • [3] An Algorithm for Mining Decision Rules Based on Decision Network and Rough Set Theory
    Mohamed, Hossam Abd Elmaksoud
    [J]. UBIQUITOUS COMPUTING AND MULTIMEDIA APPLICATIONS, PT I, 2011, 150 : 44 - 54
  • [4] Decision Rules Mining with Rough Set
    Wang, Haitao
    Zhao, Jing
    Wu, Gang
    Chao, Zhao
    Fan, Zhang
    Cao, Xinyu
    [J]. ADVANCES IN ARTIFICIAL INTELLIGENCE, SOFTWARE AND SYSTEMS ENGINEERING, 2019, 787 : 357 - 365
  • [5] Decision Rules for Renewable Energy Utilization Using Rough Set Theory
    Huang, Chuying
    Huang, Chun-Che
    Chen, Din-Nan
    Wang, Yuju
    [J]. AXIOMS, 2023, 12 (09)
  • [6] Decision rules based on rough set theory in generalized information systems
    Zhou, Jun
    Zhang, Qing-Ling
    Tong, Shao-Cheng
    [J]. PROCEEDINGS OF 2006 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2006, : 1477 - +
  • [7] Three-Way Decision: An Interpretation of Rules in Rough Set Theory
    Yao, Yiyu
    [J]. ROUGH SETS AND KNOWLEDGE TECHNOLOGY, PROCEEDINGS, 2009, 5589 : 642 - 649
  • [8] ESTABLISHMENT OF RULES AND REGULATIONS FOR THE FURTHER TRAINING OF NURSING STAFF
    OPDERBECKE, HW
    [J]. ANASTHESIOLOGIE & INTENSIVMEDIZIN, 1989, 30 (08): : 217 - 217
  • [9] Rough set theory and decision rules in data analysis of breast cancer patients
    Zaluski, J
    Szoszkiewicz, R
    Krysinski, J
    Stefanowski, J
    [J]. TRANSACTIONS ON ROUGH SETS I, 2004, 3100 : 375 - 391
  • [10] Usage of the rough set theory for generating decision rules of number of traffic vehicles
    Landowski, Marek
    Landowska, Anna
    [J]. 3RD INTERNATIONAL CONFERENCE GREEN CITIES - GREEN LOGISTICS FOR GREENER CITIES, 2019, 39 : 260 - 269
12345