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Vol: 57(71) No: 3 / September 2012 Mental Ontology Model for Medical Diagnosis Based on Type of Intuitionistic Fuzzy Functions Hamido Fujita Intelligent Software Systems Laboratory, Iwate Prefectuarl University, 152-52 Sugo, Takizawa, Iwate-gun, Iwate, 020-0173, Japan, phone: (81)19-694-2578, e-mail: issam@iwate-pu.ac.jp Imre Rudas Institute of Intelligent Engineering Systems, Obuda University, Becsi ´ut, Budapest, Hungary, phone: (36)- 1-666-5601, e-mail: rudas@uni-obuda.hu Janos Fodor Institute of Intelligent Engineering Systems, Obuda University, Becsi ´ut, Budapest, Hungary Masaki Kurematsu Intelligent Software Systems Laboratory, Iwate Prefectuarl University, 152-52 Sugo, Takizawa, Iwate-gun, Iwate, 020-0173, Japan June Hakura Intelligent Software Systems Laboratory, Iwate Prefectuarl University, 152-52 Sugo, Takizawa, Iwate-gun, Iwate, 020-0173, Japan Keywords: Medical diagnosis, fuzzy reasoning, cognitive model, human interaction Abstract 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 hybrid weighted average aggregate function. The both aggregate functions as well as the physical ontology aggregate functions are aligned on medical knowledge based for producing aligned inquiry for reasoning in medical knowledge. The model is built for testing. 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