Uncertainty extensively exists in data and knowledge intensive applications, in which fuzzy
information processing plays a crucial role. Fuzzy sets have been extensively used to …

This book examines fuzzy relational calculus theory with applications in various engineering
subjects. The scope of the text covers unified and exact methods with algorithms for direct …

This comprehensive, bird's view research note combines the state of the art, a brief
presentation of the history and some original solutions, and position like views of some …

In this study of mining stock price data, we attempt to predict the stronger rules of stock
prices. To address this problem, we proposed an effective method, a fuzzy rough set system …

The client-server model is being used mostly in the actual DataBase Management Systems
(DBMS). However, these DBMS do not allow either to make flexible queries to the database …

The complexity of reality has driven the evolution of Fuzzy-Set Theory from the initial
proposal made by Zadeh in 1965, towards more complex models. Moving from a quick …

Abstract Knowledge-Intensive Case-Based Reasoning Systems (KI-CBR) mainly depend on
ontologies. Ontology can play the role of case-base knowledge. The combination of …

How to exploit the incredible variety of JSON data sets currently available on the Internet, for
example, on Open Data portals? The traditional approach would require getting them from …

Big Data are a paradigm through which valuable information is achieved through the
analysis of a large amount of data. The sources of these data can be varied, from data …

The need to incorporate and treat information given in fuzzy terms in Relational Databases
has concentrated a great effort in the last years. This article focuses on the treatment of …