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Considering comprehensively the individual and collaborative attributions, the individual knowledge competence, knowledge complementarity, and collaborative performance among candidates are chosen as the criteria to select CNPI team members in this paper. Moreover, using the fuzzy set and social network analysis method, the quantitative methods of the above criteria are proposed correspondingly. Then, by integrating the above criteria, a novel multiobjective decision model for member selection of the CNPI team is built from the view of individual and collaborative attributions. Since the proposed model is NP\u2010hard, a double\u2010population adaptive genetic algorithm is further developed to solve it. Finally, a real case is provided to illustrate the application and effectiveness of the proposed model and method in this paper.<\/jats:p>","DOI":"10.1155\/2021\/8897784","type":"journal-article","created":{"date-parts":[[2021,2,12]],"date-time":"2021-02-12T01:51:03Z","timestamp":1613094663000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Member Selection for the Collaborative New Product Innovation Teams Integrating Individual and Collaborative 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