Ausgabe 2/2019
Type-2 Fuzzy Systems and Granular Computing
Inhalt (11 Artikel)
Preface
Special issue on “Type-2 fuzzy systems and granular computing”
Oscar Castillo, Pranab K. Muhuri
Original Article
Type-2 fuzzy reliability–redundancy allocation problem and its solution using particle-swarm optimization algorithm
Zubair Ashraf, Pranab K. Muhuri, Q. M. Danish Lohani, Mukul Lata Roy
Original Paper
Computing with words for student strategy evaluation in an examination
Prashant K. Gupta, Pranab K. Muhuri
Original Paper
Optimization of granulation for fuzzy controllers of autonomous mobile robots using the Firefly Algorithm
Marylu L. Lagunes, Oscar Castillo, Jose Soria, Mario Garcia, Fevrier Valdez
Original Paper
A new fuzzy learning vector quantization method for classification problems based on a granular approach
Jonathan Amezcua, Patricia Melin
Original Paper
Optimization of type-1, interval type-2 and general type-2 fuzzy inference systems using a hierarchical genetic algorithm for modular granular neural networks
Patricia Melin, Daniela Sánchez
Original Paper
Improved possibility degree method for ranking intuitionistic fuzzy numbers and their application in multiattribute decision-making
Harish Garg, Kamal Kumar
Original Paper
Pythagorean fuzzy prioritized aggregation operators and their application to multi-attribute group decision making
Muhammad Sajjad Ali Khan, Saleem Abdullah, Asad Ali, Fazli Amin
Original Paper
Quasiconvex possibility distribution with application in decision-making
Lesheng Jin, Jian Wang, Gang Qian
Open Access
Original Paper
Granular computing-based approach of rule learning for binary classification
Han Liu, Mihaela Cocea