An extensible six-step methodology to automatically generate fuzzy DSSs for diagnostic applications
作者： Antonio d'Acierno , Massimo Esposito , Giuseppe De Pietro
DOI: 10.1186/1471-2105-14-S1-S4
关键词:
摘要: Background The diagnosis of many diseases can be often formulated as a decision problem; uncertainty affects these problems so that computerized Diagnostic Decision Support Systems (in the following, DDSSs) have been developed to aid physician in interpreting clinical data and thus improve quality whole process. Fuzzy logic, well established attempt at formalization mechanization human capabilities reasoning deciding with noisy information, profitably used. Recently, we informally proposed general methodology automatically build DDSSs on top fuzzy knowledge extracted from data.
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