Abstract
A fuzzy rule based expert system STRESSDIAG is presented for diagnosis of stress types including positive and negative rules. After designing and building a suitable inference engine for this system, to create effective knowledge base consisting of more than 700 positive rules for confirmation of conclusion and of more than 100 negative rules for exclusion of the same conclusion. How the rule base is constructed, managed and used are focused on for diagnosis of diagnosis of stress types such as light stress, middle stress, serious stress and serious stress with mental disorder. The inference engine shows how to combine positive and negative rules. The first evaluation of STRESSDIAG is presented by the medical expert’s group in the field of mental diseases in Vietnam and confirmed that STRESSDIAG diagnoses with a high accuracy.
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Nu, M.T., Phuong, N.H., Dung, H.T. (2019). STRESSDIAG: A Fuzzy Expert System for Diagnosis of Stress Types Including Positive and Negative Rules. In: Kearfott, R., Batyrshin, I., Reformat, M., Ceberio, M., Kreinovich, V. (eds) Fuzzy Techniques: Theory and Applications. IFSA/NAFIPS 2019 2019. Advances in Intelligent Systems and Computing, vol 1000. Springer, Cham. https://doi.org/10.1007/978-3-030-21920-8_34
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DOI: https://doi.org/10.1007/978-3-030-21920-8_34
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