Fuzzy Bayesian Semantic Kriging
Author:
Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-13-8664-0_4
Reference10 articles.
1. Beer M (2010) A summary on fuzzy probability theory. In: IEEE International conference on granular computing (GrC), IEEE, pp 5–6
2. Bhattacharjee S, Ghosh SK (2015) Performance evaluation of semantic kriging: a Euclidean vector analysis approach. IEEE Geosci Remote Sens Lett 12(6):1185–1189
3. Bhattacharjee S, Mitra P, Ghosh SK (2014) Spatial interpolation to predict missing attributes in GIS using semantic kriging. IEEE Trans Geosci Remote Sens 52(8):4771–4780
4. Bhattacharjee S, Das M, Ghosh SK, Shekhar S (2016) Prediction of meteorological parameters: an a-posteriori probabilistic semantic kriging approach. In: Proceedings of the 24th ACM SIGSPATIAL international conference on advances in geographic information systems, ACM, p 38
5. Ferreira L, Borenstein D (2012) A fuzzy-Bayesian model for supplier selection. Expert Syst Appl 39(9):7834–7844
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