This study reviews the common practices and procedures conducted to identify the cost
drivers that the past literature has classified into two main categories: qualitative and …

Fuzzy control has long been applied to industry with several important theoretical results
and successful results. Originally introduced as model-free control design approach, model …

Major assumptions in computational intelligence and machine learning consist of the
availability of a historical dataset for model development, and that the resulting model will, to …

This special issue explores big data analytics and applications for logistics and supply chain
management by examining novel methods, practices, and opportunities. The articles present …

The term" fuzzy logic," as it is understood in this book, stands for all aspects of representing
and manipulating knowledge based on the rejection of the most fundamental principle of …

An approach to the online learning of Takagi-Sugeno (TS) type models is proposed in the
paper. It is based on a novel learning algorithm that recursively updates TS model structure …

Although fuzzy systems demonstrated their ability to solve different kinds of problems in
various applications, there is an increasing interest on augmenting them with learning …

This second edition of the must-read work in the field presents generic computational
models and techniques that can be used for the development of evolving, adaptive modeling …

Autonomous Learning Systems is the result of over a decade of focused research and
studies in this emerging area which spans a number of well-known and well-established …

This paper suggests Takagi-Sugeno-Kang (TSK) fuzzy models that characterize the position
of Shape Memory Alloy (SMA) wire actuators. The systems dynamics are important because …