Authors:
Elissa Madi
1
;
Azwa Aziz
1
and
Binyamin Yusof
2
Affiliations:
1
Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin (UniSZA), Besut Campus, Besut 22200, Terengganu, Malaysia
;
2
Faculty of Ocean Engineering Technology and Informatics, Universiti Malaysia Terengganu, Kuala Nerus, Terengganu 21030, Malaysia
Keyword(s):
Fuzzy Number, Interval Type-2 Fuzzy Set, MCDA.
Abstract:
The problem of reasoning under uncertainty is widely recognised as significant in information technology, and a wide range of methods has been proposed to address this problem. Uncertainty happens when imperfect information is the only available source to solve it using quantitative methods. Therefore, there is a need to implement a qualitative method when no numerical information is available. Linguistic uncertainties related to the qualitative part must be considered and managed wisely. Such uncertainty commonly involves in decision-making problem which depends on human perceptions. This study explores the relationship and difference between two variables, namely the level of uncertainty to the input and the output changes based on multi-criteria decision analysis. There is a positive relationship between these two variables. The novel generation interval type-2 fuzzy membership function technique is proposed based on this. It can accurately map the decision maker’s perceptions to
the fuzzy set model, reducing the potential for loss of information. In literature, the output ranking of the system is presented as a crisp number. However, this study proposed a new form of output in interval form based on multi-criteria decision analysis. Overall, this study provides new insight into how we should not ignore uncertainty when it affects the input. It provides an intelligent way to map human perceptions to the system using a fuzzy set.
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