Linking granular computing, big data and decision making: a case study in urban path planning

Granular computing, an emerging information processing paradigm transforming complex data into information granules at different scales so that different features and regularities can be revealed, offers an essential linkage between big data and decision making. By using innovative technologies of g...

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Veröffentlicht in:	Soft computing (Berlin, Germany) Jg. 24; H. 10; S. 7435 - 7450
Hauptverfasser:	Li, Xiang, Zhou, Jiandong, Pedrycz, Witold
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.05.2020 Springer Nature B.V
Schlagworte:	Artificial Intelligence Big Data Case studies Computation Computational Intelligence Control Data processing Decision making Engineering Fuzzy sets Granular materials Information processing Knowledge Mathematical Logic and Foundations Mechatronics Methodologies and Application Optimization Optimization models Path planning Problem solving Random variables Robotics Social networks Traffic Traffic information Big data Granular computing Urban path planning Decision making Social media
ISSN:	1432-7643, 1433-7479
Online-Zugang:	Volltext
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