The Approval Evaluation of Agricultural Project Based on the Integration of 2-Tuples and GR

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Abstract

Aiming at the practical problems that there are few index information and fuzzy evaluation criteria in the approval evaluation of agricultural project, this paper proposes a suitable method based on the integration of 2-tuples and grey correlation (GR). Firstly, the FAHP method and the goal-planning model correct the subjective weights of the evaluation index. Then, WWA operator of 2-tuples is used to gather the evaluation information of internal and external dimensions, and construct the superiority analysis matrix of the project. Otherwise, because of the shortcomings of the traditional gray correlation analysis method (GR), the paper proposes an approval evaluation method that uses the integration of 2-tuples and GR to calculate the gray comprehensive correlation degree between the superiority analysis value of each project and the positive and negative gray bullseyes. Finally, taking the agricultural and cultural tourism project as an example carry out the application analysis. The results show that the grey comprehensive correlation coefficient calculated by 2-tuples/GR evaluation method can comprehensively and effectively aggregate the fuzzy evaluation information of the project, which can effectively reduce the subjectivity and uncertainty of decision-making and provide scientific basis for project sorting and selection.

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APA

Xiong, G., Cao, Y., Yang, Y., & Chai, Y. (2020). The Approval Evaluation of Agricultural Project Based on the Integration of 2-Tuples and GR. In Advances in Intelligent Systems and Computing (Vol. 1190 AISC, pp. 588–600). Springer. https://doi.org/10.1007/978-3-030-49829-0_44

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