The Problem of Unshared Information in Group Decision-Making: A Summary of Research and the Implications for Command and Control

2002 ◽  
Author(s):  
R. A. Fleming ◽  
J. L. Kaiwi
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Command And Control ◽  
And Control

An Approach to Command and Control Group Decision-Making Based on Intuitionistic Fuzzy Set

2014 ◽  
Vol 511-512 ◽  
pp. 851-856
Author(s):  
Yan Jie Niu ◽  
Yong Wang ◽  
Dong Ge Zhang ◽  
Zhi Xue Wang
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Fuzzy Set ◽  
Group Decision ◽  
Intuitionistic Fuzzy Set ◽  
Command And Control ◽  
Control Group ◽  
Attribute Weight ◽  
Intuitionistic Fuzzy ◽  
And Control

In the process of command and control group decision-making, it is difficult to select appropriate decision schemes due to its attribute weight and evaluation as well as uncertainty of weigh

Schemes Selection of Yarn Tension Detection and Control Based on Fuzzy Multiple Attribute Group Decision Making

2013 ◽  
Vol 694-697 ◽  
pp. 2829-2834
Author(s):  
Yan Li ◽  
Hui Min Li ◽  
Yi Li
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Fuzzy Topsis ◽  
Yarn Tension ◽  
Attribute Weights ◽  
Multiple Attribute ◽  
The Individual ◽  
Topsis Technique ◽  
And Control

To evaluate the yarn tension detection and control schemes in rapier looms, a fuzzy multiple-attribute group decision making problem is proposed for the schemes selection. Firstly, important degrees of every attributes from each expert are considered. The individual opinions of each expert are integrated with the similarity of the decision group. And the synthesized weights of each expert are calculated. Secondly, with the aggregation of experts opinions, the group attribute-weights matrixes are obtained. Then the fuzzy TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) is used to sequence the alternatives, and the optimal scheme is decided for yarn tension detection and control system, the decision results illustrate the feasibility and effectiveness of the developed method.

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