Development of Reliable TOPSIS Method Using Intuitionistic Z-Numbers

Nik Muhammad Farhan Hakim, Nik Badrul Alam and Ku Muhammad Naim, Ku Khalif and Nor Izzati, Jaini (2024) Development of Reliable TOPSIS Method Using Intuitionistic Z-Numbers. In: Proceedings of the 12th World Conference on Intelligent System for Industrial Automation. 12th World Conference “Intelligent System for Industrial Automation” (WCIS-2022) , 25-26 November 2022 , Tashkent, Uzbekistan (online). pp. 73-80., 718. ISBN 978-3-031-51520-0

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Technique for order of preference by similarity to ideal solution (TOPSIS) is a multi-criteria decision-making (MCDM) method which is developed based on the distance measure from the positive and negative ideal solutions. This paper extends the TOPSIS for handling data in form of intuitionistic Z-numbers (IZN). IZN consists of restriction and reliability components which are characterized by the intuitionistic fuzzy numbers. The distance measure between IZN is proposed using the convex compound of the distances for the restriction and reliability parts. The supplier selection problem in an automobile manufacturing company is adopted to illustrate the proposed model. Sensitivity analysis is performed for the validation of the proposed model and its result shows that the proposed model gives a consistent ranking of alternatives. The strength of the proposed model is the preservation of decision information in form of IZN which does not possess the conversion into regular fuzzy number to avoid the loss of information.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: TOPSIS; Intuitionistic Z-Number; Distance Measure; Convex Compound; Sensitivity Analysis
Subjects: Q Science > QA Mathematics
Faculty/Division: Institute of Postgraduate Studies
Center for Mathematical Science
Centre of Excellence for Artificial Intelligence & Data Science
Depositing User: Miss Amelia Binti Hasan
Date Deposited: 06 Feb 2024 04:42
Last Modified: 06 Feb 2024 04:42
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