The analysis and evaluation on the allocation capability of science and technology resources based on fuzzy evaluation
Na Bi
Abstract
Na Bi
Abstract
The allocation capability of science and technology resources is the ability of making efficient use of and integrating science and technology resources efficiently in a specific district.Based on the present science and technology conditions of Zhejiang province and present research achievements on the allocation capability of science and technology resources,the content of science and technology resources is elaborated.The model for the index and assessment system of science and technology resources allocation is set up.To better demonstrate the relations among the indexes,they are treated by fuzzy processing method and their weights are calculated.A comparison between the allocation situation of science and technology resources of Ningbo City and that of Hangzhou City is carried out by means of fuzzy hierarchy evaluation,which is helpful in finding the problems and provides the scientific evidences for the optimization of the allocation capability of science and technology resources.
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The allocation capability of science and technology resources is the ability of making efficient use of and integrating science and technology resources efficiently in a specific district.Based on the present science and technology conditions of Zhejiang province and present research achievements on the allocation capability of science and technology resources,the content of science and technology resources is elaborated.The model for the index and assessment system of science and technology resources allocation is set up.To better demonstrate the relations among the indexes,they are treated by fuzzy processing method and their weights are calculated.A comparison between the allocation situation of science and technology resources of Ningbo City and that of Hangzhou City is carried out by means of fuzzy hierarchy evaluation,which is helpful in finding the problems and provides the scientific evidences for the optimization of the allocation capability of science and technology resources.
Key concepts: Science, technology and society, Computer science, Fuzzy logic, Analytic hierarchy process, Operations research, Hierarchy, Management science, Set (abstract data type)