This paper presents a comprehensive study on clustering: exiting methods and
developments made at various times. Clustering is defined as an unsupervised learning …

Granular computing, as a new and rapidly growing paradigm of information processing, has
attracted many researchers and practitioners. Granular computing is an umbrella term to …

The monograph Data Clustering: Theory, Algorithms, and Applications was published in
2007. Starting with the common ground and knowledge for data clustering, the monograph …

Information granules, as encountered in natural language, are implicit in nature. To make
them fully operational so they can be effectively used to analyze and design intelligent …

A self-contained treatment of fuzzy systems engineering, offering conceptual fundamentals,
design methodologies, development guidelines, and carefully selected illustrative material …

The key strategy of the three-way decisions theory is to consider a decision-making problem
as a ternary classification one (ie acceptance, rejection and non-commitment). Recently, this …

Consensus reaching processes in group decision making attempt to reach a mutual
agreement among a group of decision makers before making a common decision. Different …

Driver drowsiness and loss of vigilance are a major cause of road accidents. Monitoring
physiological signals while driving provides the possibility of detecting and warning of …

This chapter characterises the scope of this book. It explains the reasons why one should be
interested in cluster analysis, lists major application areas, basic theoretical and practical …

Data analysis and their thorough interpretation have posed a substantial challenge in the
era of big data due to increasingly complex data structures and their sheer volumes. The …