In the post-epidemic era, the previously neglected issues of sub-health and health of the elderly groups have received widespread attention and become one of the urgent livelihood issues in China. The study takes Yangba in Kang County, Longnan city, Gansu province, as an example, and establishes the evaluation index system of forest wellness suitability of Yangba in Kang County through online questionnaire survey, GIS analysis, and fuzzy mathematical computation, which contains 4 guideline level indicators and 19 index level indicators. The research results show that the comprehensive score of the forest wellness suitability rating of Yangba in Kang County is 81, which is a general suitability forest wellness base. From the guideline level single sorting scores, forest area of forest quality, temperature of recreation dimension quality, water environment quality of substrate quality, and recreation type richness of recreation program quality have the highest scores, which are 28.400, 19.980, 51.072, and 16.575, respectively. Based on the total sorting, the two indexes of temperature and forest area have the highest scores, and the quality of recreation programs of forest wellness is generally low. It indicates that the recreation programs do not have outstanding characteristics, are not rich in programs, do not have complete fitness facilities and medical facilities, and are not equipped with high medical personnel, which cannot meet the demand for forest recreation. According to the evaluation results, for the deficiencies of the forest wellness projects, the project activity optimization suggestions are put forward from low mountain-tea garden, mountain-forest, forest-oxygen bar and forest-water health care, which can be used to further improve the forest wellness activities and connotation in Kang County. At present, all forest recreation bases in China have their different characteristics, and the development of a unified indicator system suitable for different forest recreation bases is the direction of our future research.