Interval-Valued 2-Tuple Prioritized AggregationOperators and Their Application to MultipleAttribute Group Decision Making

摘要

This paper presents interval-valued 2-tuple prioritized aggregation operators for handling problems involving multiple attribute group decision making, where a prioritization relationship exists between attributes and decision makers. We first develop two interval-valued 2-tuple prioritized aggregation operators called (i) the interval-valued 2-tuple prioritized weighted average (IV2TPWA) operator and (ii) the interval-valued 2-tuple prioritized weighted geometric (IV2TPWG) operator and examine their desirable properties. The significant feature of these operators is that they not only deal with the linguistic and interval linguistic information but also account for the priority level of the arguments. Next, based on the IV2TPWA and the IV2TPWG operators, we develop an approach to multiple attribute group decision making with interval linguistic information. Finally, a practical example is presented to illustrate our method.