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Design and Implementation of Fuzzy Expert System for Personal Healthcare Management

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2025, 30(10), pp.69~79
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : July 28, 2025
  • Accepted : September 23, 2025
  • Published : October 31, 2025

Hee-Soo Seo 1 Kang-Hee Lee 1

1숭실대학교

Accredited

ABSTRACT

This paper details the design and implementation of a fuzzy expert system that provides personalized healthcare solutions based on an individual's lifestyle data. This study introduces fuzzy logic, which can effectively handle the linguistic ambiguity inherent in human language. The proposed system takes a user's scores related to diet, exercise, and stress as fuzzy inputs and infers a 'solution type' through a Mamdani-based fuzzy inference system. This process includes fuzzification, inference based on fuzzy rules, and defuzzification. The system was implemented using Python, and its validity was verified through experiments based on various unit and integrated scenarios. The experimental results confirmed that the proposed fuzzy expert system successfully provides rational and personalized healthcare advice for diverse input conditions. This research is expected to contribute to the development of more intelligent and user-centric healthcare systems in the future.

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