University of Oulu

Alakhras M., Hussein M., Oussalah M. (2019) Fuzzy Sets and Game Theory in Green Supply Chain: An Optimization Model. In: Arai K., Bhatia R., Kapoor S. (eds) Intelligent Computing. CompCom 2019. Advances in Intelligent Systems and Computing, vol 997. Springer, Cham

Fuzzy sets and game theory in green supply chain : an optimization model

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Author: Alakhras, Marwan1; Hussein, Mousa1; Oussalah, Mourad2
Organizations: 1EE, COE, United Arab Emirates University, Al Ain, United Arab Emirates
2Department of Computer Science and Engineering, University of Oulu, Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 1.8 MB)
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Language: English
Published: Springer Nature, 2019
Publish Date: 2020-06-23


An optimization model using fuzzy sets and game theory for three players is put forward in this wok. The decision model is influenced by customer demands in a green supply chain. The proposed model includes an empirical solution to enhance the confidence level of players to choose plausible green strategy. Initially, the strategies are formulated using the game theory as manufacturer, costumer and government, to be able to optimize the pay-off uncertainty conditions of demands, by combining computational fuzzy set with ability of sensitive analysis of related fuzzy parameters to enhance the calculations and problem solving, with presenting Nash equilibrium the problem solving part.

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Series: Advances in intelligent systems and computing
ISSN: 2194-5357
ISSN-E: 2194-5365
ISSN-L: 2194-5365
ISBN: 978-3-030-22871-2
ISBN Print: 978-3-030-22870-5
Pages: 149 - 164
DOI: 10.1007/978-3-030-22871-2_12
Host publication: Proceedings of the 2019 Computing Conference, 16-17 July 2019, London, UK
Host publication editor: Arai, Kohei
Bhatia, Rahul
Kapoor, Supriya
Conference: Computing Conference
Type of Publication: A4 Article in conference proceedings
Field of Science: 113 Computer and information sciences
Copyright information: © Springer Nature Switzerland AG 2019. This is a post-peer-review, pre-copyedit version of an article published in Proceedings of the 2019 Computing Conference, 16-17 July 2019, London, UK. The final authenticated version is available online at: