Grey Situation Group Decision-Making Method Based on Prospect Theory

Joint Authors

Zhang, Na
Fang, Zhigeng
Liu, Xiaqing

Source

The Scientific World Journal

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-08-12

Country of Publication

Egypt

No. of Pages

7

Main Subjects

Medicine
Information Technology and Computer Science

Abstract EN

This paper puts forward a grey situation group decision-making method on the basis of prospect theory, in view of the grey situation group decision-making problems that decisions are often made by multiple decision experts and those experts have risk preferences.

The method takes the positive and negative ideal situation distance as reference points, defines positive and negative prospect value function, and introduces decision experts’ risk preference into grey situation decision-making to make the final decision be more in line with decision experts’ psychological behavior.

Based on TOPSIS method, this paper determines the weight of each decision expert, sets up comprehensive prospect value matrix for decision experts’ evaluation, and finally determines the optimal situation.

At last, this paper verifies the effectiveness and feasibility of the method by means of a specific example.

American Psychological Association (APA)

Zhang, Na& Fang, Zhigeng& Liu, Xiaqing. 2014. Grey Situation Group Decision-Making Method Based on Prospect Theory. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1050683

Modern Language Association (MLA)

Zhang, Na…[et al.]. Grey Situation Group Decision-Making Method Based on Prospect Theory. The Scientific World Journal No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-1050683

American Medical Association (AMA)

Zhang, Na& Fang, Zhigeng& Liu, Xiaqing. Grey Situation Group Decision-Making Method Based on Prospect Theory. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1050683

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1050683