Title
Addressing Relations And Conclusions By Grouped Modeling For Complex Issues
Keywords
Addressing template; Correlation analysis; Group modeling; Modeling template
Abstract
Many organizations often group many teams of experts around the world to study complex issues from different viewpoints. The Distributed Cooperative Modeling System (DCMS) we developed can help the grouped teams to address the issues involving many experts by grouped modeling on multi-templates. The paper summarizes the characteristics of DCMS briefly. The grouped templates from history data to deducted trend are built by grouped experts. The modeling process and experts' working are conducted and traced by "soft-agents". The implicit-relation mining and correlation analysis among multiple templates, by making use of Pearson Linear Correlation, Monotonic Correlation, can help experts to realize the interaction of relevant elements and design appropriate policies and actions. To reach synthesized conclusion, the Analytic Hierarchy Process and Ordered Weighted Geometric aggregation algorithms are employed to single and multiple templates respectively. © 2014 ICIC International.
Publication Date
1-1-2014
Publication Title
ICIC Express Letters
Volume
8
Issue
10
Number of Pages
2775-2778
Document Type
Article
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
84940309066 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84940309066
STARS Citation
Cai, Zhiming; Chan, Kuok Fan; Wang, Menghan; and Yin, Jiangling, "Addressing Relations And Conclusions By Grouped Modeling For Complex Issues" (2014). Scopus Export 2010-2014. 9001.
https://stars.library.ucf.edu/scopus2010/9001