CaFIRST: A context-aware hybrid fuzzy inference system for the similarity measure of multivariate trajectories-Reference-Cited by-同舟云学术

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CaFIRST: A context-aware hybrid fuzzy inference system for the similarity measure of multivariate trajectories

Published:2019-06-11 Issue:6 Volume:36 Page:5383-5395
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Sharif Mohammad¹,Alesheikh Ali Asghar²,Tashayo Behnam³

Affiliation:

1. Department of Geography, Faculty of Literature and Human Science, University of Hormozgan, Bandar Abbas, Iran

2. Department of Geospatial Information Systems, Faculty of Geodesy and Geomatics Engineering, K. N. Toosi University of Technology, Tehran, Iran

3. Department of Surveying Engineering, Faculty of Civil Engineering and Transportation, University of Isfahan, Isfahan, Iran

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference37 articles.

1. Ranking the City: The Role of location-based social media check-ins in collective human mobility prediction;Abbasi;ISPRS International Journal of Geo-Information,2017

2. A proposal for the genetic lateral tuning of linguistic fuzzy systems and its interaction with rule selection;Alcalá;IEEE Transactions on Fuzzy Systems,2007

3. K. Amouzandeh , S. Goudarzi and F. Karimipour , Contextual analysis of spatio-temporal walking observations, Cham: Springer International Publishing, 2018.

4. Multi-objective genetic learning of serial hierarchical fuzzy systems for large-scale problems;Benítez;Soft Computing,2013

5. Weather effects on human mobility: A study using multi-channel sequence analysis;Brum-Bastos;Computers, Environment and Urban Systems,2018

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