Interval Intuitionistic Trapezoidal Fuzzy Prioritized Aggregating Operators and their Application to Multiple Attribute Decision Making

Abstract

In this paper, we investigate the interval intuitionistic trapezoidal fuzzy multiple attribute decision making (MADM) problems in which the attributes are in different priority level. Motivated by the ideal of prioritized aggregation operators bu R.R. Yager, we developed some prioritized aggregation operators for aggregating interval intuitionistic trapezoidal fuzzy information, and then apply them to develop some models for interval intuitionistic trapezoidal fuzzy multiple attribute decision making (MADM) problems in which the attributes are in different priority level. Finally, a practical example about talent introduction is given to verify the developed approaches and to demonstrate its practicality and effectiveness.