Rural landscape resources are important ingredients of rural revitalization and modernization in developing countries and regions. Evaluation methods play a crucial role in the development planning, design, transformation, and protection of these resources. However, there has been a lack of research on the evaluation of rural landscape resources, especially from the perspective of rural revitalization. Based on previous evaluation methods and expert consultations on landscape planning and design, we proposed a new approach for evaluating rural landscape resources by establishing a new index system and using the Analytic Hierarchy Process (AHP) and probabilistic linguistic Cloud Model. To demonstrate its applicability and effectiveness, we applied our model to the case of a village (Xiapu) in Guangdong, China, determined the parameter set of its rural landscape resources, and obtained related results showing that the method is practical and can reflect the value of resources objectively and efficiently. Based on this model, further suggestions are provided to improve the design and other utilizations of rural landscape resources.

Rural tourism landscape resources are important ingredients of rural revitalization and modernization in developing countries and regions. Evaluation methods play a crucial role in the planning, design, transformation, development, and protection of these resources. However, there has been a lack of research on the evaluation of rural tourism landscape resources, especially from the perspective of rural revitalization and carbon neutrality. From the perspective of carbon neutrality and rural revitalization, this article establishes an indicator system to evaluate rural tourism landscape resources based on previous evaluation methods and expert consultations on landscape planning. An evaluation model based on the intuitionistic fuzzy VIKOR method structure matching is also suggested. Some practical suggestions are put forward to promote the values of rural tourism landscape resources through empirical analyses of three regions in Changsha, Hunan, China. Our study shows that the evaluation results could objectively reflect the values and existing problems of rural tourism landscape resources, which could provide practical tools for local government departments to make decisions, and landscape architects to plan and design. Based on this model, further suggestions are provided to improve rural tourism landscape resources.