Fuzzy computing (FC) has made a great impact in capturing human domain knowledge
and modeling non-linear mapping of input-output space. In this paper, we describe
the design and implementation of FC systems for detection of money laundering
behaviors in financial transactions and monitoring of distributed storage system
load. Our objective is to demonstrate the power of FC for real-world applications
which are char- acterized by imprecise, uncertain data, and incomplete domain
knowledge. For both applications, we designed fuzzy rules based on experts’ domain
knowledge, depending on money laundering scenarios in transactions or the “health”
of a distributed storage system. In addition, we developped a generic fuzzy
inference engine and contributed to the open source community.