Fuzzy Sets and Game Theory in Green Supply Chain: An Optimization Model

Marwan Alakhras, Mousa Hussein, Mourad Oussalah

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


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.

Original languageEnglish
Title of host publicationIntelligent Computing - Proceedings of the 2019 Computing Conference
EditorsKohei Arai, Rahul Bhatia, Supriya Kapoor
PublisherSpringer Verlag
Number of pages16
ISBN (Print)9783030228705
Publication statusPublished - 2019
EventComputing Conference, 2019 - London, United Kingdom
Duration: Jul 16 2019Jul 17 2019

Publication series

NameAdvances in Intelligent Systems and Computing
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365


ConferenceComputing Conference, 2019
Country/TerritoryUnited Kingdom


  • Fuzzy sets
  • Game theory
  • Green strategy
  • Green supply chain
  • Nash equilibrium
  • Pay off function

ASJC Scopus subject areas

  • Control and Systems Engineering
  • General Computer Science


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