Affiliations: [a] School of Computing, University of Portsmouth, Portsmouth, UK
| [b] Mathematics Division, Centre for Foundation Studies, University of Malaya, Malaysia
| [c] Centre of Research for Computational Sciences and Informatic Biology, Bioindustry, Environment, Agriculture and Healthcare, University of Malaya, Malaysia
Correspondence:
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Corresponding author. Ku Muhammad Naim Ku Khalif, School of Computing, University of Portsmouth, Portsmouth PO1 3HE, UK. Tel.: +44 23 9284 6412; Fax: +44 23 9284 6411; E-mail: [email protected].
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.
Keywords: Multi criteria decision making, consistent fuzzy preference relations, fuzzy TOPSIS, z-numbers, intuitive vectorial centroid, human intuition
