Editorial Message: Special Issue on Efficient Fuzzy Systems for Mining Large Scale, Imprecise, Uncertain and Vague Data

摘要

Pervasive sensor networks, ubiquitously available cloud computing and IoT devices generate huge temporal amounts of data. Wikipedia indicates that 2.5 exabytes of "big data" were generated daily in 2012, and that there will be 163 zettabytes of data by 2025. Analyzing big data is essential in order to extract more accurate knowledge for human needs. However, big data features high volume and high dimensionality, accumulates at fast-speed and is captured from multiple sources. On the other hand, such big data is potentially affected by fuzziness which is caused by granularity of information in generalization tasks, influence of human subjective judgments, information that is only partially available, miss-recording or inaccurate measurements, and inconsistent human evaluation over time as well as other related uncertain issues including sudden changes in human and environmental behaviors.