مشاهده مشخصات مقاله
Coronary Heart Disease Risk Assessment Using Dempster-Shafer Theory
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Authors |
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Vahid Khatibi
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Gholam Ali Montazer
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Conference |
چهاردهمین کنفرانس بینالمللی سالانه انجمن کامپیوتر ایران |
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Abstract |
In this paper, a novel inference engine named fuzzyevidential
hybrid engine has been proposed using
Dempster-Shafer theory of evidence and fuzzy sets
theory. This hybrid engine operates in two phases. In
the first phase, it models the input information’s
vagueness through fuzzy sets. In following, extracting
the fuzzy rule set for the problem, it applies the fuzzy
inference rules on the acquired fuzzy sets to produce
the first phase results. At second phase, the acquired
results of previous stage are assumed as basic beliefs
for the problem propositions and in this way, the belief
and plausibility functions (or the belief interval) are
set. Gathering information from different sources, they
provide us with diverse basic beliefs which should be
fused to produce an integrative result. For this
purpose, evidential combination rules are used to
perform the information fusion. Having applied the
proposed engine on the coronary heart disease (CHD)
risk assessment, it has yielded 86 percent accuracy
rate in the CHD risk prediction. |
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قیمت |
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برای اعضای سایت : 100,000 Rial
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برای دانشجویان عضو انجمن : 20,000 Rial
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برای اعضای عادی انجمن : 40,000 Rial
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خرید مقاله
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