@inproceedings{fc639b088e5247efa85b0ed0e6bdd070,
title = "Fuzzy Sets and Game Theory in Green Supply Chain: An Optimization Model",
abstract = "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.",
keywords = "Fuzzy sets, Game theory, Green strategy, Green supply chain, Nash equilibrium, Pay off function",
author = "Marwan Alakhras and Mousa Hussein and Mourad Oussalah",
note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.; Computing Conference, 2019 ; Conference date: 16-07-2019 Through 17-07-2019",
year = "2019",
doi = "10.1007/978-3-030-22871-2_12",
language = "English",
isbn = "9783030228705",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "149--164",
editor = "Kohei Arai and Rahul Bhatia and Supriya Kapoor",
booktitle = "Intelligent Computing - Proceedings of the 2019 Computing Conference",
}