Analysis of spatiotemporal data relationship using information granules

作者：Song, Mingli^*; Shang, Wenqian; Wang, Lidong; Pedrycz, Witold

来源：International Journal of Machine Learning and Cybernetics, 2017, 8(5): 1439-1446.

DOI：10.1007/s13042-015-0386-x

• Spatiotemporal data
• Information granules
• FCM
• Granular descriptor

Data analysis especially data with space and time feature in a human-centric way requires interpretable representation of data. With this motivation, we present a granular way of data analysis in which the data and the relationships therein are described through a collection of sets or fuzzy sets (information granules). In this paper, data are described by semantically meaningful descriptors-information granules over the space and time domain. The design process is guided by information granulation and degranulation. Thus a performance index used to obtain the best combination of information granules becomes a crucial issue. The effectiveness of the algorithm is demonstrated by experiments on two kinds of synthetic data and data from Alberta agriculture website.

• 出版日期2017-10
• 单位大连海事大学; 中国传媒大学