Towards Combining Probabilistic and Interval Uncertainty in Engineering Calculations: Algorithms for Computing Statistics under Interval Uncertainty, and Their Computational Complexity.
Vladik KreinovichGang XiangScott A. StarksLuc LongpréMartine CeberioRoberto AraizaJan BeckRaj KandathiAsis NayakRoberto TorresJanos G. HajagosPublished in: Reliab. Comput. (2006)
Keyphrases
- computational complexity
- uncertain data
- computational efficiency
- interval valued
- interval type fuzzy
- computational cost
- decision theory
- conditional probabilities
- computationally efficient
- machine learning
- high computational complexity
- probability theory
- orders of magnitude
- theoretical analysis
- special case
- bayesian networks
- constraint satisfaction problems
- np complete
- statistical methods
- optimization problems
- data structure
- artificial intelligence
- learning algorithm
- statistical measures
- sufficient statistics
- linear computational complexity
- neural network
- interval type fuzzy sets
- fuzzy linear programming