1Blurb:: 2Discrete, epistemic uncertain variable - strings within a set 3 4Description:: 5Discrete set variables may be used to specify categorical choices which are 6epistemic. For example, if we have three possible forms for a physics 7model (model 1, 2, or 3) and there is epistemic uncertainty about 8which one is correct, a discrete uncertain set 9may be used to represent this type of uncertainty. 10 11This variable is defined by a set of strings, in which the discrete value may 12take any value within the string set (for example, the set may be 13defined as 'coarse', 'medium', and 'fine') 14 15Other epistemic types include: 16\li \ref variables-continuous_interval_uncertain 17\li \ref variables-discrete_interval_uncertain 18\li discrete_uncertain_set \ref variables-discrete_uncertain_set-integer 19\li discrete_uncertain_set \ref variables-discrete_uncertain_set-real 20 21<!-- 22\li discrete_uncertain_set \ref variables-discrete_uncertain_set-string 23 24In addition to continuous and discrete aleatory probability 25distributions, %Dakota provides support for continuous and discrete 26epistemic uncertainties through the keywords: 27 28Interval-based and set variables do not represent probability distributions. 29--> 30 31Topics:: discrete_variables, epistemic_uncertain_variables 32Examples:: 33\verbatim 34discrete_uncertain_set 35 string 36 num_set_values 2 3 37 set_values 'red' 'blue' 'coarse' 'medium' 'fine' 38 descriptors 'ds1' 'ds2' 39\endverbatim 40 41Theory:: 42 43Faq:: 44See_Also:: 45