Extended TODIM method for CCUS storage site selection under probabilistic hesitant fuzzy environment

Carbon capture, utilization and storage (CCUS) technologies are effective for urgently dealing with climate change and reducing carbon dioxide (CO2). The storage of CO2 in deep strata often leads to CO2 leakage due to geological and engineering reasons, which has a huge impact on humans and ecology. CO2 storage site selection can be regarded as a multi-criteria decision-making (MCDM) problem. Decision makers do not always show completely rational and may have the preference of bounded rational behavior, which may affect the selection of CO2 storage site. At the same time, criteria interaction is an interesting issue in multi-criteria decision-making. In this paper, we develop an extended novel TODIM method based on lambda-fuzzy measure and Choquet integral to select the CO2 storage site using evaluation information given by decision makers which can take the form of a probabilistic hesitant fuzzy set, whereby lambda-fuzzy measure and Choquet integral are used to calculate the weights of criteria. The hamming distance measure between two probabilistic hesitant fuzzy element (P-HFE) is calculated and the gain and loss matrices for every criterion are obtained. Further, the overall values of all alternatives can be calculated to get the ranking order of CO2 storage site. Decision makers can select a suitable CO2 storage site according to ranking results. Finally, a CO2 storage site selection example is used to describe the effectiveness of the proposed procedures. The sensitivity analysis also explores the influence of the loss aversion coefficient and the change of criteria weights on decision results. (C) 2020 Elsevier B.V. All rights reserved.