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Issue title: Artificial Intelligence and Advanced Manufacturing (AIAM 2020)
Guest editors: Shengzong Zhou
Article type: Research Article
Authors: Chen, Yingjiaoa; * | Liang, Hub
Affiliations: [a] College of Architecture and Urban Planning, Tongji University, Shanghai, China | [b] College of Architecture and Urban Planning, Fujian University of Technology, Fujian, China
Correspondence: [*] Corresponding author. Yingjiao Chen, College of Architecture and Urban Planing, Tongji University, Shanghai, China. E-mail: [email protected].
Abstract: Rural revitalization is an attempt by China’s rural reform plan. Among them, the pastoral complex emphasizes the integration of agriculture and tourism, extends the agricultural chain, and integrates health care, technology, tourism, creativity, and leisure. However, the pastoral complex is faced with solving rural-urban integration in the context of the current rural revitalization strategy, involving complex factors such as land, ecological, cultural, and social issues. Therefore, this study analyzes the complex factors affecting the pastoral complex. Fuzzy calculation theory is introduced in the pastoral complex to discuss the pastoral complex system’s operational characteristics and further explore how to build an adaptive system evaluation system at different system levels. Considering that the process needs to consider several Conflicting factors from qualitative to quantitative, to deal with the uncertainty of human judgment in the evaluation process, the process uses fuzzy analytical hierarchy process to obtain the weight of each factor and understand the degree of influence of each factor. The research results show that various factors have different degrees of influence on the pastoral complex. Therefore, in the complex pastoral process, more attention should be paid to the operation mechanism factors to make the complex pastoral system more scientific.
Keywords: Fuzzy calculation, rural revitalization, pastoral complex, FAHP
DOI: 10.3233/JIFS-189727
Journal: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4669-4678, 2021
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