Intuition based Decision Methodology for Ranking Interval Type - II Fuzzy Numbers

Type – II fuzzy number is introduced in decision making analysis as a concept that is capable to effectively deal with uncertainty in the information about a decision. As type – II fuzzy number is represented by possibility distribution, it is hard to determine which type – II fuzzy number is greater than the other. In this paper, a new methodology for ranking type – II fuzzy number is proposed. The methodology is made up based on two intuitionistic components namely centroid point and spread. The paper also introduces for the first time the extension of type – II fuzzy number into standardised generalised type – II fuzzy number so that the representation is more generic and applicable to any cases of decision making problems. The methodology is then validated using both theoretical and empirical validations for real decision making applications.