Earticle

초록

영어

Group decision-making is a situation faced when individuals collectively make a choice from the alternatives before them. Aiming to the drawback that not all plans can be evaluated by a single expert during group decision-making process, a group decision-making method for dynamic cloud distribution is proposed in this paper based on cumulative prospect theory. First, experts and plans were divided into groups according to the classification rule, and plans were described with the cloud model. The expectation, the entropy and the super entropy decision matrix were structured respectively. Then, the maximum and minimum values in decision matrix were set as positive and negative reference points. The parameter values of cumulative cloud prospect were calculated and the synthesis prospect values of every group were obtained. Finally, the plans were sorted based on the mean of synthesis prospect values for every group, and illustrated by specific examples. The ranking results show that the proposed method is rationality and practicability. So the proposed method can be widely used in group decision-making of grouping scheme or grouping expert.

목차

Abstract
 1. Introduction
 2. Basic Knowledge
  2.1. Cumulative Prospect Theory
  2.2. Cloud Model
 3. Methodology
  3.1. The Description of Problems about Group Decision-Making
  3.2. The Steps of Dynamic Group Decision-Making
 4. Result Analysis and Discussion
 5. Conclusions
 References

키워드

저자

• Xiaoxia Wang [ School of Information and Communication Engineering, North University of China ]
• Fengbao Yang [ School of Information and Communication Engineering, North University of China ]
• Dawei Li [ School of Information and Communication Engineering, North University of China ]
• Feifei Zhang [ School of Information and Communication Engineering, North University of China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Grid and Distributed Computing

• 간기

  격월간

• pISSN

  2005-4262

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605