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The aging population is increasing significantly in developed countries where living standards are high. Aging comes with the inevitable decline in physical and cognitive function that typically requires some form of intervention of self-management to maintain quality of life. In this respect, classifiers were created to evaluate the appropriateness of incorporating assistive technology into everyday living of people with dementia. In this paper, a hybrid fuzzy AHP-TOPSIS method for selecting the most suitable classifier to support and maintain assistive technology adoption in people with dementia is presented. Taking into consideration characteristics related to performance, usability, scalability, flexibility and design of various assistive technologies. This paper discusses the development of decision models, which were based on a number of carefully selected data.

A MULTI-CRITERIA MODEL FOR SELECTING THE MOST SUITABLE CLASSIFIER FOR SUPPORTING ASSISTIVE TECHNOLOGY ADOPTION IN PEOPLE WITH DEMENTIA