Fuzzy estimation for process capability indices
Information Sciences: an International Journal
A new methodology for crisp equivalent of fuzzy chance constrained programming problem
Fuzzy Optimization and Decision Making
Development of fuzzy and control charts using α-cuts
Information Sciences: an International Journal
Estimating and testing process yield with imprecise data
Expert Systems with Applications: An International Journal
Fuzzy process capability analyses with fuzzy normal distribution
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
Expert Systems with Applications: An International Journal
Fuzzy process capability indices with asymmetric tolerances
Expert Systems with Applications: An International Journal
Ergodic distribution for a fuzzy inventory model of type (s,S) with gamma distributed demands
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
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We consider probability density functions where some of the parameters are uncertain. We model these uncertainties using fuzzy numbers producing fuzzy probability density functions. In particular, we look at the fuzzy normal, fuzzy uniform, and the fuzzy negative exponential and show how to use them to compute fuzzy probabilities. We also use the fuzzy normal to approximate the fuzzy binomial. Our application is to inventory control (the economic order quantity model) where demand is given by a fuzzy normal probability density.