Abstract
This paper presents the basic characteristics of a prototype fuzzy expert system being developed in order to improve the performance of a binary-logic based software on the particular application of oil analysis of Diesel engines (for industrial and transport fleet use). The system allows for reasoning under absent or imprecise measurements, providing with an interval-valued diagnostic of the suspected severity of a particular fault. A set of so-called metarules complements the basic fault dictionary for fine tuning, allowing extra functionality such as linear transformations of membership prior to logic operations, discarding previous conclusions in some circumstances and introducing the possibility of detecting contradiction between different diagnostic alternatives for the same fault.
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