基于直觉模糊函数的医学诊断心理本体模型

2012 IEEE 10th Jubilee International Symposium on Intelligent Systems and Informatics Pub Date : 2012-10-25 DOI:10.1109/SISY.2012.6339486

H. Fujita, I. Rudas

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引用次数: 3

摘要

本文扩展了与虚拟医生系统(VDS)相关的医学诊断推理问题。采用直观模糊聚合函数来表示反映VDS心智模型的概念。VDS项目采用物理本体模型和基于医学本体的心理本体模型进行推理。与医学诊断相关的心理本体论是本文的重点。心理本体论有两种模型:情绪状态模型和自我状态模型。心理状态的属性用模糊的直觉准则来表示。情感状态相关属性采用谐波混合加权有序直觉模糊聚合函数表示。自我状态相关属性用Bonferroni有序权重平均聚合函数表示。聚合功能和物理本体聚合功能都以医学知识为基础进行对齐。模型是为测试而建立的。

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Mental Ontology model for medical diagnosis based on some intuitionistic fuzzy functions

This paper extends reasoning issues on medical diagnosis related to Virtual Doctor System (VDS). Intuitionistic fuzzy aggregation functions have been used to represent concept reflective to the mental model of the VDS. The VDS project used two physical ontology model and mental ontology model aligned on medical ontology for reasoning. In this paper the mental ontology related to medical diagnosis is the main emphasis. The mental Ontology is represented as two models: Emotion state model, and ego state model. The attributes of mental state are represented as fuzzy intuitionistic criteria. The emotion state related attributes are represented using harmonic hybrid weighted Ordered Intuitionistic fuzzy aggregation function. The ego state related attributes are represented using Bonferroni ordered weight average aggregate function. The both aggregate functions as well as the physical ontology aggregate functions are aligned on medical knowledge based. The model is built for testing.

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2012 IEEE 10th Jubilee International Symposium on Intelligent Systems and Informatics

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