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The Industrial Internet is proving to be an effective catalyst for high-quality economic and social development, increasingly serving as a pivotal force in the digital transformation of the manufacturing industry. At the heart of this transformation is the Industrial Internet platform, which acts as a transformative tool for enabling digital enhancements in manufacturing. The evaluation of the capability of these platforms to energize digital transformation is approached as a multi-attribute group decision-making (MAGDM) problem. In this context, the use of double hierarchy hesitant fuzzy linguistic term sets (DHHFLTSs) provides a precise representation of the significance in real MAGDM scenarios. Consequently, this paper introduces the double hierarchy hesitant fuzzy linguistic TOPSIS (DHHFL-TOPSIS) method, tailored specifically for MAGDM within a DHHFLTSs environment, and applies it to evaluate the capability of Industrial Internet platforms. Additionally, information entropy is utilized to determine the weights of the targets. A practical case study is also included to showcase the application of our method, and a comparative analysis is conducted to affirm its feasibility and effectiveness. The main contributions of this research are outlined as follows: (1) TOPSIS method is adapted based on DHHFLTSs; (2) PDHL-TOPSIS approach is utilized to address the MAGDM problem under DHHFLTSs; (3) A practical case study demonstrates the operational steps of our method; (4) A comparative analysis confirms the feasibility and effectiveness of the approach.<\/jats:p>","DOI":"10.1177\/13272314241295962","type":"journal-article","created":{"date-parts":[[2025,2,10]],"date-time":"2025-02-10T00:58:51Z","timestamp":1739149131000},"page":"336-347","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":1,"title":["TOPSIS method for ability evaluation of industrial internet platform energizing digital transformation of manufacturing with DHHFLTSs"],"prefix":"10.1177","volume":"29","author":[{"given":"Hailong","family":"Liu","sequence":"first","affiliation":[{"name":"Hebei Software Institute, Baoding, 071000, Hebei, China"}]},{"given":"Yan","family":"Wang","sequence":"additional","affiliation":[{"name":"Hebei Software Institute, Baoding, 071000, Hebei, China"}]}],"member":"179","published-online":{"date-parts":[[2025,2,9]]},"reference":[{"key":"e_1_3_2_2_2","first-page":"19","article-title":"Evolutionary game and simulation analysis of collaborative innovation mechanisms of industrial internet platform-based ecosystem","volume":"15","author":"Zhao HY","year":"2023","unstructured":"Zhao HY, Wang HJ, Jin ST, et al. 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