Possibilistic Linear Programming Problems involving Normal Random Variables.
Suresh K. BarikM. P. BiswalPublished in: Int. J. Fuzzy Syst. Appl. (2016)
Keyphrases
- problems involving
- random variables
- linear programming
- graphical models
- probability distribution
- linear program
- bayesian networks
- solving complex
- optimization problems
- multiple objectives
- normal distribution
- stochastic optimization problems
- dynamic programming
- objective function
- joint distribution
- latent variables
- np hard
- optimal solution
- conditional independence
- distribution function
- conditional probabilities
- independent and identically distributed
- possibilistic networks
- probabilistic inference
- failure rate
- conditionally independent
- knapsack problem
- directed acyclic graph
- belief propagation
- evolutionary algorithm
- joint probability distribution