Fuzzy K-means clustering models for triangular fuzzy time trajectories

Renato Coppi; Pierpaolo D’Urso

doi:10.1007/bf02511444

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Fuzzy K-means clustering models for triangular fuzzy time trajectories

Renato Coppi Pierpaolo D’Urso

Year: 2002 Journal: Statistical Methods & Applications Vol: 11 (1)Pages: 21-40 Publisher: Springer Science+Business Media

DOI: 10.1007/bf02511444

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Keywords:

Fuzzy classification Fuzzy logic Fuzzy set operations Defuzzification Fuzzy number Data mining Fuzzy set Fuzzy clustering Membership function Artificial intelligence Focus (optics) Cluster analysis Computer science Mathematics Set (abstract data type) Type-2 fuzzy sets and systems Function (biology) Machine learning

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Fuzzy Systems and Optimization

Physical Sciences → Mathematics → Statistics and Probability

Time Series Analysis and Forecasting

Physical Sciences → Computer Science → Signal Processing

Data Management and Algorithms

Physical Sciences → Computer Science → Signal Processing

Fuzzy K-means clustering models for triangular fuzzy time trajectories

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