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URN etd-0909107-235332 Statistics This thesis had been viewed 2768 times. Download 1967 times. Author Shih-ming Chang Author's Email Address No Public. Department Information Management Year 2005 Semester 2 Degree Master Type of Document Master's Thesis Language zh-TW.Big5 Chinese Page Count 42 Title Establishment of an XBRL-Based Financial Analysis System Using Genetic Algorithm Keyword XBRL XBRL Abstract The analysis of financial statement has been a public concerned issue. It not only includes many indices which influence the management of enterprise but also is a result of company operation. However, the analysis of financial statement is an unstructured work which costs time and money. Therefore, to establish an auxiliary system would be useful to assist the decision-making and minimize human errors. The purpose of this research is to establish a financial analysis system based on XBRL (eXtensible Business Reporting Language). In this study, the weight of different indices would be adjusted through genetic algorithm to analyze the debt-paying ability in long terms and verify whether the analysis results could fit the professional results. The developed system benefits users without financial background. With the GUI users also can dynamically alter the knowledge and evaluation level according to different needs to obtain better analysis result. Advisor Committee Yung-Hsin Wang - advisor
Files Date of Defense 2007-07-17 Date of Submission 2007-09-10