The new fuzzy analytical hierarchy process with interval type-2 trapezoidal fuzzy sets and its application

The degree of type-1 fuzzy sets membership function cannot express the linguistic variable of a complex problem. The type-2 fuzzy sets as a problem solver such that more fuzziness for constructing membership functions can be handled. Recently, many multi-criteria decision making (MCDM) methods have...

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Bibliographic Details
Main Authors: Sam’an, Muhammad, Dasrila, Yosza, Muslim, Much Aziz
Format: Article
Language:English
Published: Taylor & Francis 2021
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Online Access:http://eprints.uthm.edu.my/6242/1/J12903_42bbe5894019e4649541f0ec4474c899.pdf
http://eprints.uthm.edu.my/6242/
https://doi.org/10.1080/16168658.2021.1952760
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Summary:The degree of type-1 fuzzy sets membership function cannot express the linguistic variable of a complex problem. The type-2 fuzzy sets as a problem solver such that more fuzziness for constructing membership functions can be handled. Recently, many multi-criteria decision making (MCDM) methods have been expanded using type-2 fuzzy sets. Analytical Hierarchy Process (AHP) is one of the well-known MCDM that can take into account multiple and conflicting criteria at the same time. Our goal is to develop an interval type-2 trapezoidal fuzzy AHP through the new proposed ranking i.e. the modified total integral value. Based on the illustrative examples for trapezoidal type-2 fuzzy sets, the new proposed ranking has a well-performance in ranking. Furthermore, we apply the new trapezoidal type-2 fuzzy AHP to a supplier selection problem. Based on the results of the application, the new fuzzy AHP has the same ranking results as the existing fuzzy AHP.