On Neyman-Pearson Lemma for Crisp, Random and Fuzzy Hypotheses.
Adel MohammadpourAli Mohammad-DjafariPublished in: SMPS (2006)
Keyphrases
- neyman pearson
- fuzzy sets
- fuzzy numbers
- fuzzy logic
- fuzzy information
- membership functions
- fuzzy partitions
- fuzzy set theory
- neural network
- fuzzy rules
- rough sets
- membership values
- group decision making
- interval valued
- computational intelligence
- support vector machine
- linguistic variables
- triangular fuzzy numbers
- fuzzy relations
- t norm
- type ii
- binary classification
- fuzzy clustering algorithms
- fuzzy systems
- fuzzy clustering
- data streams
- feature extraction
- feature selection
- machine learning