NDLI: Fuzzy Evaluation on ERP System Implementing Risk Based on Membership Degree Transformation New Algorithm M(1,2,3)

Content Provider	IEEE Xplore Digital Library
Author	Jiang Hua
Copyright Year	2009
Abstract	The implementing risk of ERP systems has much ambiguity, having no quantifiable indicators and evaluation results only are "big", "small", "general" or other qualitative description, so it is reasonable and scientific to apply fuzzy comprehensive evaluation method for the fuzzy evaluation on ERP system implementing risk. The core of fuzzy evaluation is membership degree transformation. But the transformation methods should be questioned, because redundant data in index membership degree is also used to compute object membership degree, which is not useful for object classification. The new algorithm is: using data mining technology based on entropy to mine knowledge information about object classification hidden in every index, affirm the relationship of object classification and index membership, eliminate the redundant data in index membership for object classification by defining distinguishable weight and extract valid values to compute object membership. The new algorithm of membership degree transformation includes three calculation steps which can be summarized as "effective, comparison and composition", which is denoted as M(1,2,3). The paper applied the new algorithm in the fuzzy evaluation of ERP system implementing risk.
Starting Page	409
Ending Page	413
File Size	313258
Page Count	5
File Format	PDF
ISBN	9780769536439
DOI	10.1109/ISECS.2009.247
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-05-22
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Economic indicators Enterprise resource planning Entropy Classification algorithms implementing risk Data mining Electronic commerce Security membership degree transformation fuzzy evaluation 2 ERP system 3) model M(1 Risk management Fuzzy systems Quality management
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Fuzzy Comprehensive Evaluation on Digital Libraries Based on Membership Degree Transformation New Algorithm-M(1,2,3)

Fuzzy evaluation on mining investment decision based on membership degree transformation new algorithm — M(1,2,3)

Fuzzy Evaluation on Campus Network Security Based on Membership Degree Transformation New Algorithm--M(1,2,3)

Fuzzy Evaluation on the Operational Performance of E-commerce Websites Based on Membership Degree Transformation New Algorithm M(1,2,3)

Fuzzy evaluation on the safety of belt conveying system based on membership degree transformation new algorithm — M(1,2,3)

Fuzzy Evaluation on Software Maintainability Based on Membership Degree Transformation New Algorithm M(1,2,3)

Fuzzy evaluation on network security based on the new algorithm of membership degree transformation—m(1,2,3).

Fuzzy Comprehensive Evaluation on Community Service Based on Improved Algorithm

The study on campus network security evaluation based on fuzzy membership

Fuzzy Evaluation on ERP System Implementing Risk Based on Membership Degree Transformation New Algorithm M(1,2,3)

Similar Documents

Fuzzy Comprehensive Evaluation on Digital Libraries Based on Membership Degree Transformation New Algorithm-M(1,2,3)

Fuzzy evaluation on mining investment decision based on membership degree transformation new algorithm — M(1,2,3)

Fuzzy Evaluation on Campus Network Security Based on Membership Degree Transformation New Algorithm--M(1,2,3)

Fuzzy Evaluation on the Operational Performance of E-commerce Websites Based on Membership Degree Transformation New Algorithm M(1,2,3)

Fuzzy evaluation on the safety of belt conveying system based on membership degree transformation new algorithm — M(1,2,3)

Fuzzy Evaluation on Software Maintainability Based on Membership Degree Transformation New Algorithm M(1,2,3)

Fuzzy evaluation on network security based on the new algorithm of membership degree transformation—m(1,2,3).

Fuzzy Comprehensive Evaluation on Community Service Based on Improved Algorithm

The study on campus network security evaluation based on fuzzy membership

Fuzzy Evaluation on ERP System Implementing Risk Based on Membership Degree Transformation New Algorithm M(1,2,3)