A fuzzy-based ontology for Alzheimer's disease decision support

被引：0
|
作者：
Zekri, Firas [1 ]
Bouaziz, Rafik [1 ]
Turki, Emna [2 ]
机构：
[1] Univ Sfax, Fac Econ & Management, MIR CL Lab, Airport Rd 4 Km,BP 1088, Sfax 3018, Tunisia
[2] Univ Sfax, Fac Med, Hedi Cheker Hosp, Sfax, Tunisia
来源：
2015 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE 2015) | 2015年
关键词：
component; Alzheimer Disease; Fuzzy ontology; Fuzzy logic; Mind ontology; AlzFuzzyOnto;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The fight against Alzheimer's disease (AD) has become a major issue. We aim to contribute to this fight by seeking to provide adequate software to assist decision makers in the field of AD to choose the optimal decision for each situation. Moreover, it is now recognized that fuzzy ontologies are useful tools for the representation of crisp and fuzzy knowledge and reasoning on it. Thus, we propose in this paper a fuzzy ontology called "AlzFuzzyOnto", related to the AD concepts. This ontology enables semantic representation of medical data for diagnosis and support of AD, while taking into account the uncertainties and inaccuracies associated with this disease. To this end, we used the Mind ontology, as initial core ontology, in the building process of the ontology "AlzFuzzyOnto", which we have standardized to facilitate the integration of rule bases.
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页数：6
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