Interval rough numbers decision making with preference multiple attribute information on alternatives
Abstract：With respect to interval rough numbers multiple attribute decision making problems with prefer ence information on alternatives and incomplete weight information, some operational rules are firstly adduced for interval rough numbers. Secondly, a mini optimization model based on projection idea is established. Based on the number of integrated operators interval rough numbers range of information gathered, utility values of the al ternatives are calculated for ranking all alternatives. Finally, a numerical example is given to show the effective ness and usefulness of the method.
Keywords：interval rough numbersinterval rough weighted average number of operator (IRWA)prefer-enees
Publication Date：2012-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 101-105 )