Research on the construction performance assessment of industry-university-research cooperation in collaborative innovation to promote the practice base construction based on CDIO idea
Affiliations: School of Architecture and Art, Central South University, Changsha, Hunan, China
Correspondence:
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Corresponding author. Ming Luo, School of Architecture and Art, Central South University, Changsha, Hunan 410012, China. Tel./Fax: +86-0731-82656910; E-mail: [email protected].
Abstract: The construction performance appraisal of industry-university-research cooperation in collaborative innovation to promote the practice base construction based on CDIO idea is a classical multiple attribute decision making problem. In this paper, we study on the multiple attribute decision making using interval-valued intuitionistic fuzzy numbers. Motivated by the idea of dependent aggregation, we propose the dependent interval-valued intuitionistic fuzzy Hamacher weighted average (DIVIFHWA) operator, where the associated weights rely on the aggregated interval-valued intuitionistic fuzzy arguments and can lower the influence of unfair interval-valued intuitionistic fuzzy arguments on the aggregated results via allocating low weights to “false” and “biased” ones and then utilized these elements to design the multiple attribute decision making with interval-valued intuitionistic fuzzy numbers. Finally, an example to evaluate the construction performance appraisal of industry-university-research cooperation in collaborative innovation to promote the practice base construction based on CDIO idea is provided to test the proposed algorithm.
