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

Content Provider	IEEE Xplore Digital Library
Author	Fujita, H. Rudas, I.J.
Copyright Year	2012
Description	Author affiliation: University Óbuda University, Institute of Intelligent Engineering Systems, Becsi út 96/B, H-1034 Budapest, Hungary (Rudas, I.J.) \|\| Iwate Prefectuarl, Faculty of Software and Information Science, Takizawa, Japan (Fujita, H.)
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 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.
Starting Page	55
Ending Page	62
File Size	814360
Page Count	8
File Format	PDF
ISBN	9781467347518
e-ISBN	9781467347501
e-ISBN	9781467347495
DOI	10.1109/SISY.2012.6339486
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-09-20
Publisher Place	Serbia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	human interaction Avatars Decision making cognitive model Humans Medical services Ontologies Cognition fuzzy reasoning Medical diagnosis aggregate function Medical diagnostic imaging
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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