Ishita approach to construct an interval-valued triangular fuzzy regression model using a novel least-absolute based discrepancy.
Abdullah Al-QudaimiPublished in: Eng. Appl. Artif. Intell. (2021)
Keyphrases
- regression model
- interval valued
- fuzzy sets
- t norm
- group decision making
- real valued
- interval valued fuzzy sets
- partially ordered
- representation scheme
- intuitionistic fuzzy sets
- fuzzy numbers
- membership functions
- aggregation operators
- model selection
- regression analysis
- regression methods
- linear regression model
- fuzzy set theory
- rough sets
- fuzzy logic
- generalized linear models
- score function
- explanatory variables
- interval valued data
- fuzzy rules
- computational intelligence
- multivariate regression
- decision problems
- multi criteria
- partial order
- fuzzy clustering
- fuzzy measures
- fuzzy neural network
- linear regression models
- feature space