Fuzzy C-mean (FCM) is an algorithm for data segmentation and classification, robust and
very popular within the scientific community. It is used in several fields such as computer …

An interval type-2 fuzzy logic system (IT2FLS) can function well with uncertain data, with
which a type-1 fuzzy logic system (T1FLS) is ineffective because its membership function …

Social Network Analysis (SNA) has been gaining a lot of attention lately. One of the common
steps in SNA is community detection. SNA literature has many interesting algorithms for …

Various kinds of audio and video data are generated everyday like chatting, blog posts and
Twitter on wide range of products. Providing keywords for these audio files, thus allow the …

There have been numerous studies on using the FCM algorithm in clustering and
collaboration clustering, especially in data analysis, data mining and pattern recognition. In …

Sentiment classification aims to detect information such as opinions, explicit, implicit feelings
expressed in text. The most existing approaches are able to detect either explicit …

In contrast with type-1 neural fuzzy systems (NFSs), interval type-2 NFSs process interval
membership values are much more computationally expensive in implementation …

Acquiring training samples for supervised machine learning methods to automate land cover
classification is very labor intensive. The ever-increasing amount of available remote …

Cluster analysis is an important method for data analysis, which is also widely used in
remote sensing image classification. An effective clustering algorithm is proposed for the …

Fuzzy systems based on the interval type-2 fuzzy set have many advantages in processing
uncertain data compared with the fuzzy systems based on the type-1 fuzzy set. The design of …