Abstract
Multicriteria decision making based on Analytic Hierarchy Process in the health care mobile application is introduced and studied. The application focuses on processing data from internal sensors of a smart phone as well as external sensors in order to monitor current state of a person. Measured data are partly evaluated in the device in order to identify critical situations such as fall of the person, and then are also sent to a server for the deeper analysis. While using AHP method, pairwise comparison matrices have to be created by experts - in our case doctors. Each expert can have different preferences and thus the resulting matrix, created based on the opinions of several experts, may be inconsistent. The method presented in this paper is based on interval judgments and shows how to merge inconsistent and uncertain preference matrices from several experts to deliver a robust and sensitive model for online machine decision making.
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Cimler, R., Mls, K., Gavalec, M. (2015). Decision Support Smartphone Application Based on Interval AHP Method. In: Núñez, M., Nguyen, N., Camacho, D., Trawiński, B. (eds) Computational Collective Intelligence. Lecture Notes in Computer Science(), vol 9330. Springer, Cham. https://doi.org/10.1007/978-3-319-24306-1_30
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DOI: https://doi.org/10.1007/978-3-319-24306-1_30
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