Nature-inspired methodologies are currently among the most powerful algorithms for
optimization problems. This paper presents a recent nature-inspired algorithm named Firefly …

Fuzzy rule based systems are a class of knowledge based systems. The intelligence of a
fuzzy logic based system lies in its rule base. Two approaches can be found in the literature …

The identification of an optimized model is one of the key issues in the field of fuzzy system
modeling. This has gained significant importance since; most of the real life systems are …

Cryptographic approaches are traditional and preferred methodologies used to preserve the
privacy of data released for analysis. Privacy Preserving Data Mining (PPDM) is a new trend …

The identification of a fuzzy model is a complex and nonlinear problem. This can be
formulated as a search and optimisation problem and many computing approaches are …

Fuzzy Classifiers are an powerful class of fuzzy systems. Evolving fuzzy classifiers from
numerical data has assumed lot of remarks in the recent past. This paper proposes a …

Image segmentation is the process of assigning a label to every pixel in an image such that
pixels with the same label share certain characteristics. In discontinuity based approach …

Fuzzy rule based systems are a class of knowledge based systems. The intelligence of a
fuzzy logic based system lies in its rule base. Two approaches can be found in the literature …

In this study, a simple approach for intelligent modeling of the Henry factor (\alpha-alpha
parameter, antiguiding factor, phase-amplitude coupling factor) or the so-called linewidth …

Knowledge of air flow in induction port and air motion within the cylinder of High-speed
direct–injection diesel engine is of primary importance as it influences fuel–air mixing …