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    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/8724


    Title: An intelligent questionnaire analysis expert system
    Authors: Chu, Yian-Shu;Tseng, Shian-Shyong;Tsai, Yu-Jie;Luo, Ren-Jei
    Contributors: Department of Information Science and Applications
    Keywords: Data warehouses;Database systems;Decision support systems;Expert systems;Warehouses;Analysis experts;Data warehousing;On-line analytic processing (OLAP);Questionnaire datums;Statistically significant difference;Statistics methods
    Date: 2009-03
    Issue Date: 2010-04-07 21:34:12 (UTC+8)
    Publisher: Asia University
    Abstract: In the questionnaire analysis, how to find a statistically significant difference between two or more groups in a continuous measure is one of the major problems in researches. However, it is difficult for researchers to solve the issue of finding possible statistically significant difference. There are two causes of this issue. The one is that the process of finding the statistically significant differences is highly dependent on researchers' intuition and experience, and the other is that the original questionnaire data may not be good enough to find the statistically significant differences. In this paper, we build a data warehouse and a forward-chaining rule-base expert system with three kinds of indicators, Increase, StepDown, and Dice, for drilling down the data warehouse to assist researchers in exploring the data to select appropriate statistics methods to find possible significant differences. The prototype of this expert system has been implemented, and the results of experiment about satisfaction survey showed finding the significant difference becomes easier, and users were interested in the idea of this system. © 2008 Elsevier Ltd. All rights reserved.
    Relation: Expert Systems with Applications 36(2) part 2:2699-2710
    Appears in Collections:[行動商務與多媒體應用學系] 期刊論文

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