A hybrid approach to information support system from enterprise resource perspective

Chun Che Huang, Tzu Liang (Bill) Tseng, Wen Yau Liang

Research output: Contribution to journalArticlepeer-review


To date, the contemporary information systems popularly used in industry tend to integrate internal/external information and knowledge base database. It is anticipated that significant impact and capital loss might occur if development of the large scale system fails. In this study, a new methodology focusing on prediction of the system output has been developed through data mining included Rough Set Theory and Fuzzy Set Theory. The purpose of the proposed approach is to generate a systematic mechanism under the dynamic enterprise environment. Two different types of membership functions are introduced according to Fuzzy Set Theory and consequently a hybrid approach based on aggregation of Type I and Type II Fussy Set is developed. The application of the proposed approach is illustrated through an example in Enterprise Resource Planning (ERP).

Original languageEnglish
Pages (from-to)389-411
Number of pages23
JournalJournal of Quality
Issue number5
Publication statusPublished - 2014 Jan 1

All Science Journal Classification (ASJC) codes

  • Safety, Risk, Reliability and Quality
  • Management Science and Operations Research

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