Application of interval-valued Pythagorean fuzzy VIKOR approach for petroleum sludge treatment technology evaluation...

Petroleum sludge is produced during oilfield development and production and can negatively impact the production area and surrounding environment. With increasing attention to the environmental protection of oilfields, finding an energy-efficient, environmentally sound, cost-effective and socially acceptable sludge treatment method is crucial to the sustainable development of oil companies. However, there are several problems in the selection process: ① there is no effective index system for the evaluation of treatment technologies; ② there is data uncertainty and loss of information; ③ experts in the field often make one-sided decisions; and ④ the common decision models fail to balance the general effect and local dominance of a treatment technology. This study is innovative in the following aspects: ① a decision index system of petroleum sludge treatment technology is established; ② the interval-valued Pythagorean fuzzy set effectively managed data uncertainty and loss of information; ③ the redundancy-based expert weighting method is used to avoid one-sided decisions; and ④ using the basic ideas of the VIKOR model to balance the general effect and local dominance of a technology. Example verification proved the effectiveness of this method and a sensitivity analysis showed the results were reliable. Finally, this study compared the results obtained by three other similar methods, and comparative analysis demonstrated that this approach effectively evaluated and selected petroleum sludge treatment technologies. This study improves the rationality of petroleum sludge treatment technology selection and provides a necessary reference for the selection of treatment technology for other petroleum pollutants.