Building decision analysis model by the experts knowledge–applying to management fraud detection

References

• 2002 . “ AICPA Statement on Auditing Standards (SAS) No. 99: consider3 ation of fraud in a financial statement audit ” . In American Institute of Certified Public Accountants New York
   Google Scholar
• Apostolou , B.A. , Hassell , J.M. , Webber , S.A. and Sumners , G.E. 2001 . The relative importance of management fraud risk factors . Behavioral Research in Accounting , 13 : 1 – 4 .
   Google Scholar
• Peterson , B.K. and Buckhoff , T.A. 2004 . Anti-fraud education in academia . Advances in Accounting Education: Teaching and Curriculum Innovations , 6 : 45 – 67 .
   Google Scholar
• Lin , C.T. and Lai , C.H. 2006 . Application of grey situation decision making to Lotto's jackpot promotion evaluation . The Journal of Grey System , 18 ( 2 ) : 49 – 153 .
   Google Scholar
• Lin , C.T. , Hwang , S.N. and Chuang , W.C. 2006 . Stock trading strategy based on the grey situation decision model – an empirical study of the taiwanese electronic component industry . The Journal of Grey System , 18 ( 3 ) : 239 – 250 .
   Google Scholar
• Kirkos , E. , Spathis , C. and Manolopoulos , Y. 2007 . Data mining techniques for the detection of fraudulent financial statements . Expert Systems With Applications , 32 ( 4 ) : 995 – 1003 .
   Web of Science ®Google Scholar
• Pedro , J.S , Burstein , F. and Sharp , A. 2005 . A case-based fuzzy multicriteria decision support model for tropical cyclone forecasting . European Journal of Operational Research , 160 : 308 – 324 .
   Web of Science ®Google Scholar
• Carcello , J.V. and Nagy , A.L. 2004 . Client size, auditor specialization and fraudulent financial reporting . Managerial Auditing Journal , 19 ( 5 ) : 651 – 668 .
   Google Scholar
• Lin , J.W. , Hwang , M.I. and Becker , J.D. 2003 . A fuzzy neural network for assessing the risk of fraudulent financial reporting . Managerial Auditing Journal , 18 ( 8 ) : 657 – 665 .
   Google Scholar
• Kaminski , K.A. , Wetzel , T.S. and Guan , L. 2004 . Can financial ratios detect fraudulent financial reporting? . Managerial Auditing Journal , 19 ( 1 ) : 15 – 28 .
   Google Scholar
• Zimbelmae , M.F. 1997 . The effects of SAS No. 82 on auditors' attention to fraud risk factors and audit planning decisions . Journal of Accounting Research , 35 : 75 – 97 .
   Google Scholar
• Sasidhar , M. and Jo , M.K. 2005 . Decision support models for the selection of internet access technologies in rural communities . Telematics & Informatics , 22 : 201 – 219 .
   Google Scholar
• Dunn , P. 2004 . The impact of insider power on fraudulent financial reporting . Journal of Management , 3 : 397 – 412 .
   Google Scholar
• Bell , T.B. and Carcello , J.V. 2000 . A decision aid for assessing the likelihood of fraudulent financial reporting . Auditing: A Journal of Practice & Theory , 19 : 169 – 184 .
   Web of Science ®Google Scholar
• Wang , W.K. 2005 . A knowledge-based decision support system for measuring the performance of government real estate investment . Expert Systems with Application , 29 : 901 – 912 .
   Web of Science ®Google Scholar