Interval Intuitionistic Trapezoidal Fuzzy Prioritized Aggregating Operators and their Application to Multiple Attribute Decision Making
Xian-Ping Jiang
Journal of Intelligent Computing, Vol. 9, No. 3, 2018.
DOI: 
Link: http://www.dline.info/jic/fulltext/v9n3/jicv9n3_2.pdf
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.