Site selection of medium-deep geothermal resource projects based on intuitionistic fuzzy environment and MABAC method

Jianwei Gao, Yijin He, Ningbo Huang, Qichen Meng, Shutong Zhao and Lei Zhang

Renewable Energy, 2025, vol. 250, issue C

Abstract: Aiming at the problem that the research on site selection decision-making in the process of exploration and development of medium-deep geothermal resources projects (MDGRP) is not deep enough, a site selection decision-making model based on multi-attributive border approximation area comparison (MABAC) method and intuitionistic fuzzy set (IFS) is proposed. Firstly, Latent Dirichlet Allocation (LDA) topic modeling is used to perform thematic clustering on historical empirical documents, and Term Frequency-Inverse Document Frequency (TF-IDF) algorithm is used to obtain the decision-making attributes and weights, to mine the attribute information from the empirical data; At the same time, the experts use the intuitionistic fuzzy number (IFN) to effectively integrate the expert knowledge and experience to comprehensively evaluate the alternatives. Secondly, the MABAC method is used to sort the options under the intuitionistic fuzzy environment to obtain the final sorting results. Finally, the effectiveness and practicality of the model are verified by taking the Weihe Basin site selection in China as an example. The results show that the weight of reservoir depth is the highest, 0.0903, and the Xi'an depression area A3 is the optimal alternative. The reliability and stability of the model are further verified by sensitivity analysis and comparative analysis.

Keywords: Medium-deep geothermal resources; MABAC; Intuitionistic fuzzy set; Site selection (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:250:y:2025:i:c:s0960148125009152

DOI: 10.1016/j.renene.2025.123253

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