Knowledge Acquisition Using Fuzzy Inference Unified Max Operation and Its Application to a Medical Diagnosis System

2018 ◽  
Author(s):  
Genki Ohashi ◽  
Hirosato Seki ◽  
Masahiro Inuiguchi
Keyword(s):  
Knowledge Acquisition ◽  
Medical Diagnosis ◽  
Fuzzy Inference ◽  
Diagnosis System ◽  
Medical Diagnosis System

On the Learning Method, Properties of the Extended Functional-Type SIRMs Connected Fuzzy Inference Model and Their Application to a Medical Diagnosis System

2018 ◽  
Vol 22 (2) ◽  
pp. 176-183
Author(s):  
Diederik van Krieken ◽  
Hirosato Seki ◽  
Masahiro Inuiguchi ◽  
◽  
Keyword(s):  
Medical Diagnosis ◽  
Fuzzy Inference ◽  
Learning Method ◽  
Functional Type ◽  
Inference Model ◽  
Diagnosis System ◽  
Single Input ◽  
Medical Diagnosis System

Seki et al. have proposed the functional type single input rule modules fuzzy inference model (functional-type SIRMs model, for short) which generalized consequent part of SIRMs model to function. However, it is too strict to satisfy the equivaence conditions of T–S inference model. Therefore, this paper proposes an extended functional-type SIRMs model (EF-SIRMs, for short) in which the consequent part of the functional-type SIRMs model is extended to a function with 1 dimensional polynomial from a function with n dimensional polynomial, and its properties are clarified. Further, it shows the ability of this model becomes greatly larger than that of ordinary functional-type SIRMs model. Moreover, it proposes a learning method of the EF-SIRMs model, and it is applied to a medical diagnosis, and compared with the conventional SIRMs models.

scholarly journals An intelligent multimodal medical diagnosis system based on patients’ medical questions and structured symptoms for telemedicine

2021 ◽  
Vol 23 ◽  
pp. 100513
Author(s):  
Hossam Faris ◽  
Maria Habib ◽  
Mohammad Faris ◽  
Haya Elayan ◽  
Alaa Alomari
Keyword(s):  
Medical Diagnosis ◽  
Diagnosis System ◽  
Medical Diagnosis System
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