A new methodology for crisp equivalent of fuzzy chance constrained programming problem
Fuzzy Optimization and Decision Making
Estimating and testing process yield with imprecise data
Expert Systems with Applications: An International Journal
Evaluating process performance based on the incapability index for measurements with uncertainty
Expert Systems with Applications: An International Journal
Decision-making in a single-period inventory environment with fuzzy demand
Expert Systems with Applications: An International Journal
Estimating the quality of process yield by fuzzy sets and systems
Expert Systems with Applications: An International Journal
Chance-constrained DEA models with random fuzzy inputs and outputs
Knowledge-Based Systems
Solving multi-objective fuzzy probabilistic programming problem
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Hi-index | 0.01 |
We consider joint probability density functions where some of the parameters are uncertain. We model these uncertainties using fuzzy numbers producing fuzzy joint probability density functions. Then we study the fuzzy marginal densities, the fuzzy conditional densities and fuzzy correlation. We look at one particular fuzzy joint density: the fuzzy bivariate normal. An application in fuzzy reliability theory is presented.