International Journal of Computational Intelligence Systems

Volume 3, Issue 6, December 2010, Pages 786 - 796

Duopoly Market Analysis within One-Shot Decision Framework with Asymmetric Possibilistic Information

Authors
Peijun Guo, Ruiliang Yan, John Wang
Corresponding Author
Peijun Guo
Received 24 February 2010, Accepted 5 October 2010, Available Online 1 December 2010.
DOI
10.2991/ijcis.2010.3.6.9How to use a DOI?
Keywords
Keywords: Duopoly market, focus points, one-shot decision, possibilistic Cournot equilibrium, possibility theory.
Abstract

In this paper, a newly emerging duopoly market with a short life cycle is analyzed. The partially known information of market is characterized by the possibility distribution of the parameter in the demand function. Since the life cycle of the new product is short, how many products should be produced by two rival firms is a typical one-shot decision problem. Within the one-shot decision framework, the possibilistic Cournot equilibrium is obtained for the optimal production level of each firm in a duopoly market with asymmetrical possibilistic information. The analysis results show that the proposed approaches are reasonable for one-shot decision problems, which are extensively encountered in business and economics.

Copyright
© 2010, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
3 - 6
Pages
786 - 796
Publication Date
2010/12/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.2010.3.6.9How to use a DOI?
Copyright
© 2010, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Peijun Guo
AU  - Ruiliang Yan
AU  - John Wang
PY  - 2010
DA  - 2010/12/01
TI  - Duopoly Market Analysis within One-Shot Decision Framework with Asymmetric Possibilistic Information
JO  - International Journal of Computational Intelligence Systems
SP  - 786
EP  - 796
VL  - 3
IS  - 6
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2010.3.6.9
DO  - 10.2991/ijcis.2010.3.6.9
ID  - Guo2010
ER  -