Few or more attributes: Deleting criteria using sensitivity analysis

Research has shown that as the attractiveness of alternatives rises with more choices, individuals experience conflict between the alternatives, which causes them to defer their decision, search for new alternatives, or choose the default option. Having lesser attributes simplifies complex problems and the decision making process. This paper uses the sensitivity analysis in hierarchical decision model, developed by Hongyi Chen, to prove that we can reduce the size of a problem and make the decision easier with the future change of values of attributes, without affecting the final decision.