In agriculture science, automation increases the quality, economic growth and productivity of
the country. The export market and quality evaluation are affected by assorting of fruits and …

Background: selecting the correct statistical test and data mining method depends highly on
the measurement scale of data, type of variables, and purpose of the analysis. Different …

This study proposes a novel evolutionary kernel intuitionistic fuzzy c-means clustering
algorithm (EKIFCM) that combines Atanassov's intuitionistic fuzzy sets (IFSs) with kernel …

In this paper, a new image segmentation method based on Particle Swarm Optimization
(PSO) and outlier rejection combined with level set is proposed. A traditional approach to the …

Fuzzy clustering is a well-established technique among the well-known clustering
techniques in several real-world applications due to easy implementation and produces …

In this paper, we describe NoCGEN, a Network On Chip (NoC) generator, which is used to
create a simulatable and synthesizable NoC description. NoCGEN uses a set of …

Recognition and mapping of mineralization-related patterns in geochemical data is a key
computational analysis to achieve a predictive model of prospectivity for mineral deposit …

Recommender system (RS) is an emerging technique in information retrieval to handle a
large amount of online data effectively. It provides recommendation to the online user in …

This paper proposes an enhanced discriminability recurrent fuzzy neural network for
temporal classification problems. To consider classification problems, the most important …

Objective: In this study we propose a fuzzy classifier whose rule antecedents are determined
based on the new approach to Clustering with Pairs of Prototypes (CPP). After …