Running on
cutting-ege decision modelling method
DEXi
with an ability to select options that best satisfy the goals of the decision maker
which are smaller, less complex and easier to solve than the complete problem
which consist of discrete attributes that are easy to manage
DEXi models
are developed by defining
Attributes
qualitative variables that represent decision subproblems
Scales
ordered or unordered sets of symbolic values that can be assigned to attributes
Tree of attributes
a hierarchical structure representing the decomposition of the decision problem
Decision tables
rules that define the aggregation of attributes from bottom to the top of the tree of attributes
DEXi analysis
facilitate
Description of options
defining the values of basic attributes (terminal nodes of the tree)
Evaluation of options
a bottom up aggregation of option values based on utility functions
Analysis of options
what-if analysis, “plus-minus-1” analysis, selective explanation, option generation and comparison of options
Reporting
graphical and textual presentation of models, options and evaluation results
