فا   |   En
ورود به سایت
مشاهده‌ مشخصات مقاله

Coronary Heart Disease Risk Assessment Using Dempster-Shafer Theory

نویسنده (ها)
  • Vahid Khatibi
  • Gholam Ali Montazer
مربوط به کنفرانس چهاردهمین کنفرانس بین‌المللی سالانه انجمن کامپیوتر ایران
چکیده 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.
قیمت
  • برای اعضای سایت : ۱٠٠,٠٠٠ ریال
  • برای دانشجویان عضو انجمن : ۲٠,٠٠٠ ریال
  • برای اعضای عادی انجمن : ۴٠,٠٠٠ ریال

خرید مقاله