An integration approach to multiple attribute decision making with preference information on alternatives

This paper proposes an integration approach to multiple attribute decision making with expertspsila preference information on alternatives. In the approach, expertspsila subjective preference information on robots is represented in preference orderings, utility values and fuzzy preference relation. By integrating the subjective information and the objective information (decision matrix), the new approach overcomes the drawbacks of the current ones and provides more reliable decisions.