Data clustering is one of the most popular techniques in data mining. It is a process of
partitioning an unlabeled dataset into groups, where each group contains objects which are …

In this study, we propose a cluster-oriented development of fuzzy models. An overall design
process is focused on an efficient usage of fuzzy clustering, Fuzzy C-Means (FCM), in …

Fuzzy models are regarded as numeric constructs and as such are optimized and evaluated
at the numeric level. In this study, we depart from this commonly accepted position and …

A system which represents knowledge is normally referred to as a knowledge based system
(KBS). This article focuses on surveying publications related to knowledge base modelling …

To overcome the shortcomings of the conventional trial and error mode for new material
development, a full-process collaborative design platform for steel rolling is developed …

In this research, a new framework based on fuzzy logic is proposed to model the twin screw
granulation (TSG) process. First, various fuzzy logic systems (FLSs) having different …

List of References on Evolutionary Multiobjective Optimization Page 1 List of References on
Evolutionary Multiobjective Optimization Carlos A. Coello Coello ccoello@cs.cinvestav.mx …

Processing realized in fuzzy rule-based models is associated with matching individual rules
with the existing input data and aggregation of the levels of matching and conclusions of the …

In the present work, the endpoint sulfur content prediction model of Kambara Reactor (KR)
desulfurization in the steelmaking process is investigated. For Artificial Neural Network …

Advances in data collection and storage capabilities during the past decades have led to an
information overload in most application domains. The huge amount of data the real-world …