To design intelligent products that are more in line with the real needs of elderly users, the work aims to discuss how to comprehensively apply various scientific methods to the design and solution optimization decision of intelligent kitchen appliances for the elderly. An integration method combining KJ affinity diagram, AHP hierarchical analysis and VIKOR multi-criteria compromise solution ranking was proposed to assist the design of intelligent kitchen appliances for the elderly. Firstly, the KJ was used to mine the list of users' functional requirements, and the AHP was used to screen users' needs and build a hierarchical model, calculate the weight value of each factor and output the prioritization results. Secondly, based on the obtained results, an affordance design strategy was proposed, and a conceptual solution was designed. Finally, relevant personnel were invited to use the VIKOR to conduct aggregate function statistics on the judgment matrix of alternatives to obtain the optimal compromise solution closest to the ideal point and acceptable to the decision-maker. Taking the design of intelligent rice cookers for the elderly as an example, the method model was demonstrated and the needs of elderly users could be accurately obtained, pointing out the design focus, and solving the optimization problem of design solutions. Through empirical verification, the integration method has certain operability, practicability and superiority and provides a scientific reference basis for later designers to select intelligent kitchen appliances for the elderly.