TY - JOUR
T1 - A rough set-based game theoretical approach for environmental decision-making
T2 - A case of offshore oil and gas operations
AU - Yang, Ming
AU - Khan, Faisal I.
AU - Sadiq, Rehan
AU - Amyotte, Paul
PY - 2013/5/1
Y1 - 2013/5/1
N2 - Environmental decision-making in offshore oil and gas (OOG) operations can be extremely complex due to conflicting objectives or criteria, availability of vague and uncertain information, and interdependency among multiple decision-makers. Most existing studies ignore conflicting preferences and strategic interactions among decision-makers. This paper presents a game theoretical approach to solve multi-criteria conflict resolution problem under constrained and uncertain environments. Uncertainties in the quantification of imprecise data are expressed using rough numbers. A multi-criteria game is developed to model a decision problem in which three groups of decision-makers (i.e.; operators, regulators and service engineers) are involved. This game is solved using the generalized maximin solution concept. With the solution (i.e.; optimal weights of the criteria), the rough numbers can be aggregated to an expected payoff for each alternative. Finally, the weights of upper and lower limits of a rough number are employed to transform the expected payoff into a crisp score, based on which all alternatives are ranked to identify the best one. A numerical example is outlined to demonstrate the application of the proposed method to the selection of management scenarios of drilling wastes.
AB - Environmental decision-making in offshore oil and gas (OOG) operations can be extremely complex due to conflicting objectives or criteria, availability of vague and uncertain information, and interdependency among multiple decision-makers. Most existing studies ignore conflicting preferences and strategic interactions among decision-makers. This paper presents a game theoretical approach to solve multi-criteria conflict resolution problem under constrained and uncertain environments. Uncertainties in the quantification of imprecise data are expressed using rough numbers. A multi-criteria game is developed to model a decision problem in which three groups of decision-makers (i.e.; operators, regulators and service engineers) are involved. This game is solved using the generalized maximin solution concept. With the solution (i.e.; optimal weights of the criteria), the rough numbers can be aggregated to an expected payoff for each alternative. Finally, the weights of upper and lower limits of a rough number are employed to transform the expected payoff into a crisp score, based on which all alternatives are ranked to identify the best one. A numerical example is outlined to demonstrate the application of the proposed method to the selection of management scenarios of drilling wastes.
KW - Environmental decision-making
KW - Game theory
KW - Offshore oil and gas (OOG)
KW - Rough set
UR - http://www.scopus.com/inward/record.url?scp=84876411967&partnerID=8YFLogxK
U2 - 10.1016/j.psep.2012.05.001
DO - 10.1016/j.psep.2012.05.001
M3 - Article
AN - SCOPUS:84876411967
SN - 0957-5820
VL - 91
SP - 172
EP - 182
JO - Process Safety and Environmental Protection
JF - Process Safety and Environmental Protection
IS - 3
ER -