The following publications are possibly variants of this publication:
- Study on the Use of Type-1 and Interval Type-2 Fuzzy Systems Applied to Benchmark Functions Using the Fuzzy Harmony Search AlgorithmCinthia Peraza, Fevrier Valdez, Oscar Castillo. nafips 2018: 94-103 [doi]
- Comparative Study of Type-1 and Interval Type-2 Fuzzy Systems in the Fuzzy Harmony Search Algorithm Applied to Benchmark FunctionsCinthia Peraza, Fevrier Valdez, Oscar Castillo. eusflat 2018: 162-170 [doi]
- Optimization of interval type-2 fuzzy logic controllers using evolutionary algorithmsOscar Castillo, Patricia Melin, Arnulfo Alanis Garza, Oscar Montiel, Roberto Sepúlveda. soco, 15(6):1145-1160, 2011. [doi]
- Dynamic parameter adaptation in the harmony search algorithm for the optimization of interval type-2 fuzzy logic controllersFevrier Valdez, Cinthia Peraza. soco, 24(1):179-192, 2020. [doi]
- Ensemble Neural Network Optimization Using a Gravitational Search Algorithm with Interval Type-1 and Type-2 Fuzzy Parameter Adaptation in Pattern Recognition ApplicationsBeatriz González, Patricia Melin, Fevrier Valdez, German Prado-Arechiga. In Oscar Castillo, Patricia Melin, Janusz Kacprzyk, editors, Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications. Volume 749 of Studies in Computational Intelligence, pages 17-27, Springer, 2018. [doi]