Abstract
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 language | English |
|---|---|
| Pages (from-to) | 389-411 |
| Number of pages | 23 |
| Journal | Journal of Quality |
| Volume | 21 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 2014 Jan 1 |
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All Science Journal Classification (ASJC) codes
- Safety, Risk, Reliability and Quality
- Management Science and Operations Research
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A hybrid approach to information support system from enterprise resource perspective. / Huang, Chun Che; Tseng, Tzu Liang (Bill); Liang, Wen Yau.
In: Journal of Quality, Vol. 21, No. 5, 01.01.2014, p. 389-411.Research output: Contribution to journal › Article
TY - JOUR
T1 - A hybrid approach to information support system from enterprise resource perspective
AU - Huang, Chun Che
AU - Tseng, Tzu Liang (Bill)
AU - Liang, Wen Yau
PY - 2014/1/1
Y1 - 2014/1/1
N2 - 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).
AB - 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).
UR - http://www.scopus.com/inward/record.url?scp=84940964115&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84940964115&partnerID=8YFLogxK
U2 - 10.6220/joq.2014.21(5).05
DO - 10.6220/joq.2014.21(5).05
M3 - Article
AN - SCOPUS:84940964115
VL - 21
SP - 389
EP - 411
JO - Journal of Quality
JF - Journal of Quality
SN - 1022-0690
IS - 5
ER -