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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) |
| Persistent link: | http://urn.fi/urn:nbn:fi-fe2020042322170 |
| Language: | English |
| Published: |
Springer Nature,
2019
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| Publish Date: | 2020-06-23 |
| Description: |
AbstractAn 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. see all
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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 |
| OADOI: | https://oadoi.org/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 |
| Subjects: | |
| 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: https://doi.org/10.1007/978-3-030-22871-2_12. |