Fathi-Torbaghan M, Meyer D
Department of Computer Science, University of Dortmund, Germany.
Methods Inf Med. 1994 Dec;33(5):522-9.
Even today, the diagnosis of acute abdominal pain represents a serious clinical problem. The medical knowledge in this field is characterized by uncertainty, imprecision and vagueness. This situation lends itself especially to be solved by the application of fuzzy logic. A fuzzy logic-based expert system for diagnostic decision support is presented (MEDUSA). The representation and application of uncertain and imprecise knowledge is realized by fuzzy sets and fuzzy relations. The hybrid concept of the system enables the integration of rule-based, heuristic and case-based reasoning on the basis of imprecise information. The central idea of the integration is to use case-based reasoning for the management of special cases, and rule-based reasoning for the representation of normal cases. The heuristic principle is ideally suited for making uncertain, hypothetical inferences on the basis of fuzzy data and fuzzy relations.
即使在今天，急性腹痛的诊断仍是一个严峻的临床问题。该领域的医学知识具有不确定性、不精确性和模糊性的特点。这种情况特别适合通过应用模糊逻辑来解决。本文提出了一个基于模糊逻辑的诊断决策支持专家系统（MEDUSA）。不确定和不精确知识的表示与应用通过模糊集和模糊关系来实现。该系统的混合概念能够在不精确信息的基础上集成基于规则、启发式和基于案例的推理。集成的核心思想是使用基于案例的推理来处理特殊情况，使用基于规则的推理来表示一般情况。启发式原则非常适合基于模糊数据和模糊关系进行不确定的、假设性的推理。
