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

Ming Yang, Faisal I. Khan, Rehan Sadiq, Paul Amyotte

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)172-182
Number of pages11
JournalProcess Safety and Environmental Protection
Volume91
Issue number3
DOIs
Publication statusPublished - May 2013
Externally publishedYes

Keywords

  • Environmental decision-making
  • Game theory
  • Offshore oil and gas (OOG)
  • Rough set

ASJC Scopus subject areas

  • Environmental Engineering
  • Environmental Chemistry
  • Chemical Engineering(all)
  • Safety, Risk, Reliability and Quality

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