Hybrid fuzzy MCDM model for Z-numbers using intuitive vectorial centroid

This paper presents a hybrid fuzzy multi criteria decision making model for z-numbers using intuitive vectorial centroid. There are two novelty discuss here: 1) development of intuitive vectorial centroid defuzzification and; 2) development of
hybrid fuzzy multi criteria decision making model based on consistent fuzzy preference relations and fuzzy technique for order performance by similarity to ideal solution for z-numbers. The implementation of z-numbers is taken into consideration, where it has more authority to describe the knowledge of human being and extensively used in the uncertain information development to deal with linguistic decision making problems. Fuzziness is not sufficient enough when dealing with real information and a degree of reliability of the information is very critical. It also highlights the combination of z-numbers with multi criteria decision making techniques allow the use of fuzzy linguistic by considering the need of human intuition in decision making problems. The proposed methodology is applied to staff recruitment problem.