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First, through big data text analysis technology, we constructed a \"5\u2009+\u200924\" two-tier evaluation index system composed of 24 level-II evaluation indexes as well as five level-I evaluation indexes and selected 19 typical cities as input data for the comprehensive evaluation system. Further, the Adaptive Random Forest based Crossover Tactical Unit (ARF-CTU) algorithm is proposed for evaluating the performance of the industrial vehicle industry. However, the ARF algorithm is employed to estimate the lowering of overfitting issues and handling of high dimensional data. Moreover, the continuously varying conditions are analyzed by CTU. Then, we constructed a comprehensive evaluation system in the rough set theory and projection pursuit: (I) Quoting the rough set non-decision-making algorithm for attribute reduction, that is, under the premise of unchanged classification ability, derive a new evaluation system, and calculate the index weight and score based on the new system. (II) Based on the projection pursuit technology, the index score is mapped by a genetic algorithm to a linear structure, and a one-dimensional projection vector is an output.<\/jats:p>","DOI":"10.1007\/s40747-024-01525-w","type":"journal-article","created":{"date-parts":[[2024,7,2]],"date-time":"2024-07-02T01:05:01Z","timestamp":1719882301000},"page":"7033-7062","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Strategic analysis of intelligent connected vehicle industry competitiveness: a comprehensive evaluation system integrating rough set theory and projection pursuit"],"prefix":"10.1007","volume":"10","author":[{"given":"Yi","family":"Wang","sequence":"first","affiliation":[]},{"given":"Fan","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Qianlong","family":"Feng","sequence":"additional","affiliation":[]},{"given":"Kai","family":"Kang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,6,29]]},"reference":[{"key":"1525_CR1","doi-asserted-by":"publisher","DOI":"10.1108\/K-05-2023-0928","author":"H Zhang","year":"2023","unstructured":"Zhang H, Qi Y, Zhang G (2023) Comparative analysis of the intelligent connected vehicle industry in China, the United States, and the European Union from a technology lifecycle perspective. 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