Active and healthy living is critical in an aging society. Mobile and smart technology applications can assist in achieving this goal of healthy living. However, selecting a suitable and smart technology application for active and healthy living is difficult. To address this difficulty, a fuzzy collaborative intelligence (FCI) approach was proposed in this study to assess the suitability of a mobile and smart technology application. The FCI approach is a posterior-aggregation fuzzy analytic hierarchy process approach that combines the fuzzy inverse of column sum, partial-consensus fuzzy intersection, and fuzzy technique for order preference by similarity to the ideal solution. The FCI approach starts from the prioritization of critical factors using the fuzzy inverse of column sum by each expert. Subsequently, partial-consensus fuzzy intersection is applied to aggregate the priorities derived by all experts. Based on the aggregation result, each mobile and smart technology application for active and healthy aging is assessed using fuzzy technique for order preference by similarity to the ideal solution. The FCI approach was applied to assess five existing mobile and smart technology applications, with various aspects of life as parameters. According to experimental results, the most and least suitable mobile technology applications were smart canes and online food ordering and delivery platforms, respectively. This is because the current elderly population is not very familiar with smartphone applications. This problem will be solved over time when the current middle-age population becomes old. In addition, the ranking result obtained using the proposed methodology was considerably different from those using several existing methods. The aging of population is a natural phenomenon. The results of this study are helpful to creating an environment that is friendly and assists elderly people to age actively and healthily.

积极健康的生活对于老龄化社会至关重要。移动和智能技术应用可以帮助实现健康生活这一目标。但是，很难选择合适且智能的技术来实现积极健康的生活。为了解决这个难题，本研究提出了一种模糊协作智能（FCI）方法来评估移动和智能技术应用程序的适用性。FCI方法是一种后聚合模糊分析层次结构方法，该方法将列总和的模糊逆，部分共识模糊交点和模糊技术相结合，以类似于理想解决方案的顺序进行偏好。FCI方法从使用每个专家使用列总和的模糊逆确定关键因素的优先级开始。后来，应用部分共识模糊交集来汇总所有专家得出的优先级。根据汇总结果，使用模糊技术评估每个主动和健康衰老的移动和智能技术应用程序的顺序偏好，方法类似于理想解决方案。FCI方法用于评估五个现有的移动和智能技术应用程序，并将生活的各个方面作为参数。根据实验结果，最合适和最不适合的移动技术应用分别是智能手杖和在线食品订购和交付平台。这是因为当前的老年人口对智能手机应用不是很熟悉。当前的中年人口老龄化，这个问题将随着时间的推移而解决。此外，使用提议的方法获得的排名结果与使用几种现有方法获得的排名结果有很大不同。人口老龄化是自然现象。这项研究的结果有助于创造一个友好的环境，并帮助老年人积极健康地成长。