The latest tools and techniques for pricing and risk management This book introduces
readers to the use of copula functions to represent the dynamics of financial assets and risk …

Fifty years have gone by since the publication of the first paper on clustering based on fuzzy
sets theory. In 1965, LA Zadeh had published “Fuzzy Sets”[335]. After only one year, the first …

ABSTRACT The Rough Set (RS) theory can be considered as a tool to reduce the input
dimensionality and to deal with vagueness and uncertainty in datasets. Over the years, there …

While the areas of applications in data mining are growing substantially, it has become
extremely necessary for incremental learning methods to move a step ahead. The …

The aim of medical knowledge representation is to capture detailed domain knowledge in a
clinically efficient manner, and to offer reliable resolution with the acquired knowledge. The …

This paper presents# FIVE (Framework for Interactive Virtual Environments), a framework for
the development of interactive and collaborative virtual environments.# FIVE has been …

The incremental technique is a way to solve the issue of added-in data without re-
implementing the original algorithm in a dynamic database. There are numerous studies of …

In practical situations, dynamic covering decision information systems that change over time
are of interest because databases of this kind are frequently encountered. Incremental …

With the advancement of machine learning and artificial intelligence, the automated
estimation of a bed's complex lithology has become one of the most crucial requirements in …

The rough set (RS) theory can be seen as a new mathematical approach to vagueness and
is capable of discovering important facts hidden in that data. However, traditional rough set …