Effective Fuzzy Systems for Complex Structured Data Using Fuzzy Signatures

我们正在开发系统的，启发式的和数学的技术，以产生有效的模糊系统的复杂结构化数据。许多或大多数真实的世界问题的数据具有依赖于上下文的相互依赖的子组件（例如，仅女性患者需要进行妊娠测试），并且通常具有缺失的组件。我们的技术使用模糊签名来扩展简单的模糊系统来处理具有复杂（子）结构的数据。这产生了有效的模糊系统，具有广泛的适用性，真实的问题，在电信，石油储层数据。

We are developing systematic, heuristic and mathematical techniques to produce effective fuzzy systems for complex structured data. Many or most real world problems have data which has interdependent sub-components depending on the context (eg only female patients need be tested for pregnancy), and often has missing components. Our techniques use fuzzy signatures to extend simple fuzzy systems to deal with data with such complex (sub-)structure. This produces effective fuzzy systems with wide applicability to real problems, in telecommunications, and petroleum reservoir data.