Forefront of Fuzzy Logic in Data Mining: Theory, Algorithms, and Applications
Gözde Ulutagay, Ronald R. Yager, Bernard De Baets, Tofigh Allahviranloo · Advances in Fuzzy Systems · 2016
Data mining uses various techniques and theories from a wide range of areas for the extraction of knowledge from large volumes of data.However, uncertainty is a widespread phenomenon in data mining problems.The ongoing challenges of uncertainty give rise to a plethora of knowledge extracting methods that use fuzzy logic.The aim of this special issue is twofold:(i) to present recent outstanding developments and trends in the theory and algorithms of data mining using fuzzy logic, (ii) to create a multidisciplinary forum for discussion on recent advances in data mining as well as new applications to biology, economics, ecology, engineering, finance, management, medicine, and so forth, using fuzzy logic.