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

Abstract

This paper presents a hybrid fuzzy multi criteria decision making model for z-numbers using intuitive vectorial centroid. There are two novelty aspects discussed: 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 latter are taken into consideration due to their capability of capturing human knowledge and extensive use in decision making problems under linguistic uncertainty. Fuzziness is not sufficient enough when dealing with real information and a degree of reliability of the information is very critical. The proposed combination of z-numbers with multi criteria decision making techniques facilitates the use of fuzzy linguistic aspects of human intuition in decision making. The proposed model is applied to a staff recruitment case study.