Problem Analyzing by Distributed, History and Trend Templates with Integrated Supporting of DCMS

Zhiming CAI; Zhe YANG; Menghan WANG

doi:10.1587/transinf.E97.D.146

Problem Analyzing by Distributed, History and Trend Templates with Integrated Supporting of DCMS

Zhiming CAI, Zhe YANG, Menghan WANG

Full Text Views

0

Share
Cite this

Summary :

In analysis of general-purpose problems which involves many factors from different viewpoints, an important challenge is to acquire different opinions and distributed modeling templates from multiple remote experts, and to aggregate these templates. In order to deal with this problem, we developed the Distributed Cooperative Modeling System (DCMS) by integrating our achievements [1]-[5]. The paper introduces how to analyze a complex problem using DCMS, with distributed templates from multiple experts, historical templates based on statistical data, and trend templates deduced from historical data, with the example of analyzing “diversification of Macao industries”

Publication: IEICE TRANSACTIONS on Information Vol.E97-D No.1 pp.146-150

Publication Date: 2014/01/01

Publicized

Online ISSN: 1745-1361

DOI: 10.1587/transinf.E97.D.146

Type of Manuscript: LETTER

Category: Software Engineering

Authors

Zhiming CAI
  Macao University of Science and Technology
Zhe YANG
  Macao University of Science and Technology
Menghan WANG
  University of Florida

Keyword

problem analysis, DCMS, modeling template, decision supporting

Cite this

Copy

Zhiming CAI, Zhe YANG, Menghan WANG, "Problem Analyzing by Distributed, History and Trend Templates with Integrated Supporting of DCMS" in IEICE TRANSACTIONS on Information, vol. E97-D, no. 1, pp. 146-150, January 2014, doi: 10.1587/transinf.E97.D.146.
Abstract: In analysis of general-purpose problems which involves many factors from different viewpoints, an important challenge is to acquire different opinions and distributed modeling templates from multiple remote experts, and to aggregate these templates. In order to deal with this problem, we developed the Distributed Cooperative Modeling System (DCMS) by integrating our achievements [1]-[5]. The paper introduces how to analyze a complex problem using DCMS, with distributed templates from multiple experts, historical templates based on statistical data, and trend templates deduced from historical data, with the example of analyzing “diversification of Macao industries”
URL: https://globals.ieice.org/en_transactions/information/10.1587/transinf.E97.D.146/_p

Copy

@ARTICLE{e97-d_1_146,
author={Zhiming CAI, Zhe YANG, Menghan WANG, },
journal={IEICE TRANSACTIONS on Information},
title={Problem Analyzing by Distributed, History and Trend Templates with Integrated Supporting of DCMS},
year={2014},
volume={E97-D},
number={1},
pages={146-150},
abstract={In analysis of general-purpose problems which involves many factors from different viewpoints, an important challenge is to acquire different opinions and distributed modeling templates from multiple remote experts, and to aggregate these templates. In order to deal with this problem, we developed the Distributed Cooperative Modeling System (DCMS) by integrating our achievements [1]-[5]. The paper introduces how to analyze a complex problem using DCMS, with distributed templates from multiple experts, historical templates based on statistical data, and trend templates deduced from historical data, with the example of analyzing “diversification of Macao industries”},
keywords={},
doi={10.1587/transinf.E97.D.146},
ISSN={1745-1361},
month={January},}

Copy

TY - JOUR
TI - Problem Analyzing by Distributed, History and Trend Templates with Integrated Supporting of DCMS
T2 - IEICE TRANSACTIONS on Information
SP - 146
EP - 150
AU - Zhiming CAI
AU - Zhe YANG
AU - Menghan WANG
PY - 2014
DO - 10.1587/transinf.E97.D.146
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E97-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 2014
AB - In analysis of general-purpose problems which involves many factors from different viewpoints, an important challenge is to acquire different opinions and distributed modeling templates from multiple remote experts, and to aggregate these templates. In order to deal with this problem, we developed the Distributed Cooperative Modeling System (DCMS) by integrating our achievements [1]-[5]. The paper introduces how to analyze a complex problem using DCMS, with distributed templates from multiple experts, historical templates based on statistical data, and trend templates deduced from historical data, with the example of analyzing “diversification of Macao industries”
ER -