Research on the Science and Technology Innovation Ability of Undergraduates Based on the Fuzzy Evaluation Approach

Use of the advantages of different mathematical model, and the integrated use of, has become a development trend to construct the new evaluation model. This paper puts forward a kind of multi-level comprehensive evaluation model based on the combination of principal component analysis, independent factor analysis and different distance clustering analysis. To construct a three levels analytic hierarchy comprehensive evaluation index system, and using patent information in an area 20 colleges and universities as an application case, to verified the feasibility of this new type of comprehensive evaluation model and practical. The evaluation parameters of the model are clear, easy application, evaluation results tally with the actual situation of degree is high. It is an effective platform that the various science and technology innovation ability evaluation provides. It is a basis for promote science and technology innovation ability.

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Research on the Evaluation of Urban Science and Technology Innovation Ability in Shaanxi Province Based on BP Neural Network

Proceedings of the 2017 2nd International Conference on Modern Management, Education Technology, and Social Science (MMETSS 2017) ◽

10.2991/mmetss-17.2017.43 ◽

2017 ◽

Author(s):

Penglin Li ◽

Dong Jia ◽

Chen Chen

Keyword(s):

Neural Network ◽

Bp Neural Network ◽

Technology Innovation ◽

Science And Technology ◽

Shaanxi Province ◽

Innovation Ability ◽

Urban Science

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A Fuzzy Evaluation Approach for Scientific Research Projects with 2-Tuple Linguistic Preference Relations

Frontiers in Business, Economics and Management ◽

10.54097/fbem.v2i3.188 ◽

2021 ◽

Vol 2 (3) ◽

pp. 43-45

Author(s):

Huarong Zhang ◽

Xiangqian Feng

Keyword(s):

Preference Relation ◽

Science And Technology ◽

Scientific Research ◽

Project Evaluation ◽

Fuzzy Evaluation ◽

Research Projects ◽

Technology Project ◽

Evaluation Approach ◽

Linguistic Preference Relation ◽

Science And Technology Project

Science and technology project evaluation is an important means of science and technology management. Whether the evaluation of science and technology projects is fair or not directly affects the development of national economy and the allocation of science and technology resources. Due to the complexity of the project and the fuzziness of human thinking, the expert information is often difficult to quantify in the process of project evaluation. Generally, the better choice is to express it in qualitative language. In this paper, the 2-tuple linguistic preference relation is proposed to evaluate scientific research projects. The reasonableness of the concept of complete consistency for the 2-tuple linguistic preference relation is discussed. Priority of 2-tuple linguistic preference relation is set up based on the 2-tuple weighted geometric averaging operator. Finally, combined with Science and technology project evaluation problem, the effectiveness and feasibility of the method are verified.

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