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Content Provider | IEEE Xplore Digital Library |
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Author | Xiaozhen Mi Changgang Yan Li Jin Qin Si |
Copyright Year | 2006 |
Description | Author affiliation: Dalian Jiaotong Univ. (Xiaozhen Mi; Changgang Yan; Li Jin; Qin Si) |
Abstract | Result-chain based modeling is a new system analysis and process modeling method. This paper defines node influence degree (NID) to evaluate importance of nodes in a system (RCM model), so to help people to understand the system better. Both qualitative and quantitative evaluation method are described. In the qualitative evaluation method, out-degree and in-degree of a node in system model (and/or digraph) are criterions of NID and system model. Further more, the quantitative evaluation method is proposed on the basis of fuzzy evaluation matrix and sets of adjacent nodes L(i). Quantitative method takes potential influence of nodes into account and gives more precise NID values. As a result, more accurate evaluation gives more support to system analyses and decision making. The model evaluation method makes RCM modeling more perfect technically |
Sponsorship | IEEE Beijing Section |
Starting Page | 1 |
Ending Page | 4 |
File Size | 4880612 |
Page Count | 4 |
File Format | |
ISBN | 142440164X |
DOI | 10.1109/CSCWD.2006.253126 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2006-05-03 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Decision making Collaborative work Fuzzy sets Investments Costs Virtual manufacturing Business process re-engineering System analysis and design Logic System Analysis and Modeling Result-Chain based Modeling Fuzzy Evaluation |
Content Type | Text |
Resource Type | Article |
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