Taking into Account Interval (and Fuzzy) Uncertainty Can Lead to More Adequate Statistical Estimates.
Ligang SunHani DboukIngo NeumannSteffen SchönVladik KreinovichPublished in: NAFIPS (2017)
Keyphrases
- confidence intervals
- interval valued
- interval type fuzzy
- fuzzy linear programming
- fuzzy sets
- interval type fuzzy sets
- fuzzy information
- fuzzy numbers
- multiple attribute decision making
- membership functions
- data driven
- intuitionistic fuzzy sets
- statistical analysis
- statistical information
- fuzzy set theory
- group decision making
- fuzzy clustering
- handling uncertainty
- fuzzy logic
- possibility theory
- measurement error
- decision making
- type fuzzy logic systems
- fuzzy relations
- intuitionistic fuzzy
- fuzzy measures
- rough sets
- multicriteria decision making
- imprecise information
- inherent uncertainty
- possibility distributions
- statistical models
- fuzzy rules
- soft computing
- evidence theory
- neural network
- uncertain data
- estimation error
- linguistic variables
- decision theory
- real numbers
- aggregation operators