Assessing Health Symptoms on Intelligent IoT-based Healthcare System Yo-Ping Huang 1,2 , Haobijam Basanta 1 and Avichandra Singh 1 1 Department of Electrical Engineering National Taipei University of Technology Taipei, Taiwan 10608 yphuang@ntut.edu.tw; basantameitei@gmail.com; avichandra0420@gmail.com 2 Department of Computer Science and Information Engineering National Taipei University New Taipei City, Taiwan 23741 Corresponding Author: yphuang@ntut.edu.tw Abstract. The increased proportion of aging population will demand changes to healthcare systems in developing countries. The increasing demand on the health sector is an inevitable and complicated process. Providing suitable healthcare services is essential for those elderly people who may encounter various medical problems and conditions. Early detection and identification of diseases for treat- ment, and evaluation of the best alternatives can minimize the involved compli- cations of daily activities for the aged people. To lower the risk for complications we develop an intuitive way of finding the uncertainty of health symptoms by symptom checker. The goal of this empirical study is to further examine and pre- dict certain variations of diseases based on the symptoms that a patient reported. This recommended solution combines conceptual design and technique of multi criteria decision making (MCDM) analytic hierarchy process (AHP) with fuzzy triangular priority weights to deal with the uncertainty of imprecision and ambi- guity that resulted from the relative priority scales of various factors of diseases. The method can help users to understand the uncertainty degree of a problem before making the final decision. This paper also validates the efficiency and feasibility of the proposed model to determine the weights of various diseases based on the symptoms and scores chosen by the users thereby providing quality of life assistance services. Keywords: Symptom checker, healthcare service, interface design, fuzzy AHP, Internet of Things. 1 Introduction Most parents expect their children to be around when they are aged. But due to changes in family values, many seniors end up in nursing homes or independent-living housing. A large percentage of old people face distinctive challenges such as chronic diseases including heart disease, physical disabilities, diabetes, and depression [1]. Prevention and control of health problems of elderly necessitate a multidimensional approach to Advanced Science and Technology Letters Vol.144 (MTHCI 2017), pp.21-30 http://dx.doi.org/10.14257/astl.2017.144.03 ISSN: 2287-1233 ASTL Copyright © 2017 SERSC