The present article is a novel attempt in providing an exhaustive survey of neuro-fuzzy rule
generation algorithms. Rule generation from artificial neural networks is gaining in …

Paper presents role of fuzzy modeling in heating, ventilating and air conditioning (HVAC)
and control models. HVAC design professionals are required to evaluate numerous design …

The advent of the computer age has set in motion a profound shift in our perception of
science-its structure, its aims and its evolution. Traditionally, the principal domains of …

This handbook provides information about fundamental aspects of the field and explores the
myriad applications of fuzzy logic techniques and methods. It presents basic conceptual …

In the synthesis of a fuzzy system two steps are generally employed: the identification of a
structure and the optimization of the parameters defining it. The paper presents a …

Introduces a systematic approach for fuzzy system design based on a class of neural fuzzy
networks built upon a general neuron model. The network structure is such that it encodes …

Sammon's (1969) nonlinear projection method is computationally prohibitive for large data
sets, and it cannot project new data points. We propose a low-cost fuzzy rule-based …

Singleton interval type-2 fuzzy logic systems (FLSs) have been widely applied in several
real-world applications, where it was shown that the singleton interval type-2 FLSs …

In this paper, a systematic design is proposed to determine fuzzy system structure and
learning its parameters, from a set of given training examples. In particular, two fundamental …

Fuzzy logic and fuzzy set theory provide an important framework for representing and
managing imprecision and uncertainty in medical expert systems, but the need remains to …