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In addition, specific attributes of PCE are investigated, and an improved FP-growth algorithm is employed to extract the optimized structural expressions of typical PCE, thus determining specific expression requirements. The PCE and their attribute relationships are organized into modular mapping rules, resulting in an optimized representation structure based on a polychromatic set approach. The effectiveness of this approach is quantitatively assessed by developing a comprehensive quality indicator evaluation system for process information and using a fuzzy comprehensive evaluation model for analysis.<\/jats:p>","DOI":"10.3233\/jifs-231198","type":"journal-article","created":{"date-parts":[[2023,12,29]],"date-time":"2023-12-29T11:56:15Z","timestamp":1703850975000},"page":"3907-3932","source":"Crossref","is-referenced-by-count":0,"title":["Process information optimization method based on process constituent elements model and polychromatic set theory"],"prefix":"10.1177","volume":"46","author":[{"given":"Zhongyi","family":"Wu","sequence":"first","affiliation":[{"name":"School of Mechanical Engineering, Nanchang Institute of Technology, Nanchang, China"},{"name":"School of Mechatronics Engineering, Nanchang University, Nanchang, 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