The defuzzification is a critical block when implementing a fuzzy inference engine due to
different variations and also high computational power demands of defuzzification …

Interval type-2 defuzzification maps an interval type-2 fuzzy set to a crisp number. We show
that the semantic meaning of the interval type-2 fuzzy set (the associated opportunity or risk) …

In the past few decades, adoption of Enterprise Integration (EI) through initiatives such as
Service Oriented Architecture (SOA), Enterprise Application Integration (EAI) and Enterprise …

In this paper, a new active rule detection algorithm is proposed which is efficiently
implemented in dedicated fuzzy processors. Here, its advantages are analytically attested. A …

An efficient fuzzification algorithm named as Dynamic Precision Fuzzification (DPF) is
introduced in this paper which is mainly developed for hardware implementation. The DPF …

One of the main obstacles in using the modern fuzzy control theory in engineering
applications is its very high computational cost with respect to common traditional …

Defuzzification is a critical process in the implementation of fuzzy systems that converts fuzzy
numbers to crisp representations. Few researchers have focused on cases where the crisp …

The number of intelligent systems which use soft-computing methods in real-world
applications is growing. General purpose processors (GPPs) are one selection of designers …