Title :
Fuzzy reasoning for medical diagnosis-based aggregation on different ontologies
Author :
Fujita, Hamido ; Rudas, Imre J. ; Fodor, Janos ; Kurematsu, Masaki ; Hakura, Jun
Author_Institution :
Intell. Software Syst. Lab., Iwate Prefectuarl Univ., Iwate, Japan
Abstract :
The paper discusses reasoning application for decision making in medical diagnosis. This is to reason on medical concepts that are viewed on two type ontologies; namely physical and mental. We highlighted in this position paper issues on fuzzy reasoning by aggregating two types of ontologies that are used to formalize a patient state: mental ontology reflecting the patient mental behavior due to certain disorder and physical ontology reflecting the observed physical behavior exhibited through disorder. Similarity matching is used to find the similarity between fuzzy set reflected to mental fuzzy ontology, and physical fuzzy ontology. The alignment is projected on medical ontology to rank attributes for decision making. We apply aggregate function for ranking attributes related to physical object. In the same time, we apply harmonic power average aggregate function fuzzy for ranking attributes related to mental objects. The alignment of these two aggregate function produce weighted ranking order fuzzy set for medical decision making for diagnosis. The paper highlights these issues as new challenges extending intelligence reasoning of VDS.
Keywords :
decision making; fuzzy reasoning; fuzzy set theory; medical computing; medical disorders; ontologies (artificial intelligence); patient diagnosis; VDS; attribute ranking; fuzzy reasoning; harmonic power average aggregate function fuzzy; intelligence reasoning; medical decision making; medical diagnosis-based aggregation; medical disorder; mental fuzzy ontology; mental objects; patient mental behavior; patient state; physical behavior; physical fuzzy ontology; physical objects; similarity matching; weighted ranking order fuzzy set; Artificial neural networks; Face; Medical services; Medical diagnosis; aggregate function; cognitive model; fuzzy reasoning; human interaction;
Conference_Titel :
Applied Computational Intelligence and Informatics (SACI), 2012 7th IEEE International Symposium on
Conference_Location :
Timisoara
Print_ISBN :
978-1-4673-1013-0
Electronic_ISBN :
978-1-4673-1012-3
DOI :
10.1109/SACI.2012.6249991