Supplementary material to "Climate change impact on available water resources obtained using multiple global climate and hydrology models"

Hagemann, S.; Chen, C.; Clark, D. B.; Folwell, S.; Gosling, S. N.; Haddeland, I.; Hanasaki, N.; Heinke, J.; Ludwig, F.; Vo�, F.; Wiltshire, A. J.

doi:10.5194/esdd-3-1321-2012-supplement

All Outputs (25)

Type-1 and interval type-2 ANFIS: a comparison (2017)
Presentation / Conference Contribution
Chen, C., John, R., Twycross, J., & Garibaldi, J. M. Type-1 and interval type-2 ANFIS: a comparison. Presented at 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2017)

In a previous paper, we proposed an extended ANFIS architecture and showed that interval type-2 ANFIS produced larger errors than type-1 ANFIS on the well-known IRIS classification problem. In this paper, more experiments on both synthetic and real-w... Read More about Type-1 and interval type-2 ANFIS: a comparison.

A Direct Approach for Determining the Switch Points in the Karnik–Mendel Algorithm (2017)
Journal Article
Chen, C., John, R., Twycross, J., & Garibaldi, J. M. (2018). A Direct Approach for Determining the Switch Points in the Karnik–Mendel Algorithm. IEEE Transactions on Fuzzy Systems, 26(2), 1079-1085. https://doi.org/10.1109/tfuzz.2017.2699168

The Karnik-Mendel algorithm is used to compute the centroid of interval type-2 fuzzy sets, determining the switch points needed for the lower and upper bounds of the centroid, through an iterative process. It is commonly acknowledged that there is n... Read More about A Direct Approach for Determining the Switch Points in the Karnik–Mendel Algorithm.

A new accuracy measure based on bounded relative error for time series forecasting (2017)
Journal Article
Chen, C., Twycross, J., & Garibaldi, J. M. (2017). A new accuracy measure based on bounded relative error for time series forecasting. PLoS ONE, 12(3), Article e0174202. https://doi.org/10.1371/journal.pone.0174202

Many accuracy measures have been proposed in the past for time series forecasting comparisons. However, many of these measures suffer from one or more issues such as poor resistance to outliers and scale dependence. In this paper, while summarising c... Read More about A new accuracy measure based on bounded relative error for time series forecasting.

An extended ANFIS architecture and its learning properties for type-1 and interval type-2 models (2016)
Presentation / Conference Contribution
Chen, C., John, R., Twycross, J., & Garibaldi, J. M. An extended ANFIS architecture and its learning properties for type-1 and interval type-2 models. Presented at 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2016)

In this paper, an extended ANFIS architecture is proposed. By incorporating an extra layer for the fuzzification process, the extended architecture is able to fit both type-1 and interval type-2 models. The learning properties of the proposed archite... Read More about An extended ANFIS architecture and its learning properties for type-1 and interval type-2 models.

Supplementary material to "Climate change impact on available water resources obtained using multiple global climate and hydrology models" (2013)
Other
Hagemann, S., Chen, C., Clark, D. B., Folwell, S., Gosling, S. N., Haddeland, I., Hanasaki, N., Heinke, J., Ludwig, F., Voß, F., & Wiltshire, A. J. (2013). Supplementary material to "Climate change impact on available water resources obtained using multiple global climate and hydrology models"