The effect of uncertainties in distance-based ranking methods for multi-criteria decision making

Nor Izzati, Jaini and Utyuzhnikov, Sergei V. (2017) The effect of uncertainties in distance-based ranking methods for multi-criteria decision making. In: AIP Conference Proceedings: International Conference On Mathematics: Pure, Applied And Computation , 23 November 2016 , Surabaya, Indonesia. pp. 1-17., 1867 (020010). ISSN 0094-243X ISBN 978-0-7354-1547-8

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Data in the multi-criteria decision making are often imprecise and changeable. Therefore, it is important to carry out sensitivity analysis test for the multi-criteria decision making problem. The paper aims to present a sensitivity analysis for some ranking techniques based on the distance measures in multi-criteria decision making. Two types of uncertainties are considered for the sensitivity analysis test. The first uncertainty is related to the input data, while the second uncertainty is towards the Decision Maker preferences (weights). The ranking techniques considered in this study are TOPSIS, the relative distance and trade-off ranking methods. TOPSIS and the relative distance method measure a distance from an alternative to the ideal and antiideal solutions. In turn, the trade-off ranking calculates a distance of an alternative to the extreme solutions and other alternatives. Several test cases are considered to study the performance of each ranking technique in both types of uncertainties.

Item Type: Conference or Workshop Item (Lecture)
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Multi-criteria decision making; TOPSIS; Multi-attribute value theory; Bayesian model
Subjects: Q Science > QA Mathematics
T Technology > TA Engineering (General). Civil engineering (General)
Faculty/Division: Faculty of Industrial Sciences And Technology
Depositing User: Mrs Norsaini Abdul Samat
Date Deposited: 18 Jan 2021 07:02
Last Modified: 18 Jan 2021 07:02
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