All Outputs (5)

Interval Type–2 Defuzzification Using Uncertainty Weights (2017)
Book Chapter
Runkler, T. A., Coupland, S., John, R., & Chen, C. (2018). Interval Type–2 Defuzzification Using Uncertainty Weights. In S. Mostaghim, A. Nürnberger, & C. Borgelt (Eds.), Frontiers in Computational Intelligence (47-59). Cham: Springer Verlag. https://doi.org/10.1007/978-3-319-67789-7_4

© Springer International Publishing AG 2018. One of the most popular interval type–2 defuzzification methods is the Karnik–Mendel (KM) algorithm. Nie and Tan (NT) have proposed an approximation of the KM method that converts the interval type–2 membe... Read More about Interval Type–2 Defuzzification Using Uncertainty Weights.

Empirical study of BIM implementation–based perceptions among Chinese practitioners (2017)
Journal Article
Jin, R., Hancock, C., Tang, L., Chen, C., Wanatowski, D., & Yang, L. (2017). Empirical study of BIM implementation–based perceptions among Chinese practitioners. Journal of Management in Engineering, 33(5), https://doi.org/10.1061/%28ASCE%29ME.1943-5479.0000538

The global movement of building information modeling (BIM) is spreading the implementation of BIM from developed countries to other developing countries. Practitioners’ perceptions of BIM implementation in these developing countries, such as China, a... Read More about Empirical study of BIM implementation–based perceptions among Chinese practitioners.

Type-1 and interval type-2 ANFIS: a comparison (2017)
Conference Proceeding
Chen, C., John, R., Twycross, J., & Garibaldi, J. M. (2017). Type-1 and interval type-2 ANFIS: a comparison.

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.