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A rough set-based game theoretical approach for environmental decision-making: A case of offshore oil and gas operations


Yang, M and Khan, FI and Sadiq, R and Amyotte, P, A rough set-based game theoretical approach for environmental decision-making: A case of offshore oil and gas operations, Process Safety and Environmental Protection, 91, (3) pp. 172-182. ISSN 0957-5820 (2013) [Refereed Article]

Copyright Statement

2012 The Institution of Chemical Engineers

DOI: doi:10.1016/j.psep.2012.05.001


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.

Item Details

Item Type:Refereed Article
Keywords:environmental decision-making, game theory, offshore oil and gas (OOG), rough set, conflicting objectives, conflicting preferences, environmental decision making, offshore oil, selection of management scenarios, strategic interactions, game theory
Research Division:Engineering
Research Group:Engineering practice and education
Research Field:Risk engineering
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in engineering
UTAS Author:Khan, FI (Professor Faisal Khan)
ID Code:120777
Year Published:2013
Web of Science® Times Cited:9
Deposited By:NC Maritime Engineering and Hydrodynamics
Deposited On:2017-08-30
Last Modified:2017-11-01

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