Grey cluster model based approach for selecting international cooperation key-technology projects

摘要

Purpose - The purpose of this paper is to construct index system of international cooperation project selection, propose a grey cluster model for project selection and apply propose model for Jiangsu international cooperation key-technology projects selection. Design/methodology/approach - Considering supply of international cooperation project is different with its demand, and regional key cooperation technologies should consider urgency and possibility of project cooperation, the author separately construct index groups for supply and demand. To aggregate assessment information of each cooperation project, whitenization function for each index is constructed and then cluster coefficient of index group could be aggregated by using each index and its weight information. Fixed weight grey cluster model is redefined and applied for selecting international cooperation project. And steps of calculation of model are given out. Real application of Jiangsu international cooperation projects' selection is used for demonstrating process of the proposed model. Findings - Results show that constructed indexes of international cooperation project selection can be used for selecting regional cooperation projects well. And proposed fixed weight grey cluster model can aggregate all indexes information well. Therefore, proposed indexes and model in this manuscript is effective and also it can be used for solving similar problems. Practical implications - Jiangsu province is a developed region of China, and its international cooperation is more active than other regions accordingly. Constructed indexes of international cooperation project selection and fixed weight grey cluster model can help government to select needed projects easily. Originality/value - This manuscript first define a demand as urgency and supply as possibility, and a new index system of international cooperation project selection is constructed with several urgency indexes and several possibility indexes. And a new assessment model, named as fixed weight grey cluster model, is proposed to aggregate indexes' information.