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 journalArticle

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 languageEnglish
Pages (from-to)389-411
Number of pages23
JournalJournal of Quality
Volume21
Issue number5
DOIs
Publication statusPublished - 2014 Jan 1

Fingerprint

Fuzzy set theory
Rough set theory
Enterprise resource planning
Membership functions
Data mining
Large scale systems
Industry
Information systems
Agglomeration
Information support
Hybrid approach
Resources
Membership function
Data base
Prediction
Knowledge base
Methodology

All Science Journal Classification (ASJC) codes

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

Cite this

Huang, Chun Che ; Tseng, Tzu Liang (Bill) ; Liang, Wen Yau. / A hybrid approach to information support system from enterprise resource perspective. In: Journal of Quality. 2014 ; Vol. 21, No. 5. pp. 389-411.
@article{0795c11d61574708a2a71d7f521377ff,
title = "A hybrid approach to information support system from enterprise resource perspective",
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).",
author = "Huang, {Chun Che} and Tseng, {Tzu Liang (Bill)} and Liang, {Wen Yau}",
year = "2014",
month = "1",
day = "1",
doi = "10.6220/joq.2014.21(5).05",
language = "English",
volume = "21",
pages = "389--411",
journal = "Journal of Quality",
issn = "1022-0690",
publisher = "Chinese Society for Quality",
number = "5",

}

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 journalArticle

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 -