Information granule formation via the concept of uncertainty-based information with Interval Type-2 Fuzzy Sets representation and Takagi–Sugeno–Kang consequents optimized with Cuckoo search
Authors:
- Mauricio A. SanchezMSMauricio A. Sanchez
- Oscar CastilloOscar Castillo
- Juan R. CastroJCJuan R. Castro
- 1 February 2015
- journal article
- Published by Elsevier in Applied Soft Computing
- Vol. 27, 602-609
Abstract
No abstract availableFunding Information
- CONACyT (314258)
This publication has 18 references indexed in Scilit:
- Clustering and outlier detection using isoperimetric number of treesPattern Recognition, 2013
- SpectralCAT: Categorical spectral clustering of numerical and nominal dataPattern Recognition, 2012
- Design of information granule-oriented RBF neural networks and its application to power supply for high-field magnetEngineering Applications of Artificial Intelligence, 2011
- A hybrid learning algorithm for a class of interval type-2 fuzzy neural networksInformation Sciences, 2009
- Toward a Theory of Granular Computing for Human-Centered Information ProcessingIEEE Transactions on Fuzzy Systems, 2008
- Experimental study of intelligent controllers under uncertainty using type-1 and type-2 fuzzy logicInformation Sciences, 2007
- Decision-Making Under Uncertainty: Capturing Dynamic Brand Choice Processes in Turbulent Consumer Goods MarketsMarketing Science, 1996
- Fuzzy Model Identification Based on Cluster EstimationJournal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology, 1994
- ANFIS: adaptive-network-based fuzzy inference systemIEEE Transactions on Systems, Man, and Cybernetics, 1993
- FCM: The fuzzy c-means clustering algorithmComputers & Geosciences, 1984