Aggregating Multiple Decision Makers’ Judgement

Citation

Ting, Choo Yee and Ho, Chiung Ching and Yap, Jeremy (2019) Aggregating Multiple Decision Makers’ Judgement. In: Intelligent and Interactive Computing. Springer Link, Lecture Notes in Networks and Systems, pp. 13-21. ISBN 978-981-13-6031-2

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Abstract

Selecting the best location to establish a new business site is very important in order to achieve success. It is therefore one of the most important aspect in any business plan. Multi-criteria decision-making methods such as the Analytic Hierarchy Process (AHP) has been used to elicit information that supports the decision of business site selection. However, AHP often involves multiple decision makers, each with their own opinions and biases. Different decision makers will have different opinions and views on the importance of the criteria and sub-criteria in the AHP model. In this study, three aggregation methods that can be used to carefully aggregate the resultant judgements from the multiple decision makers to form a single group judgement are discussed. The goal of obtaining the single group judgement is to use it as input to the AHP model in order to achieve the goal of selecting the most suitable business location. The study case for this paper is that of the selection of a location for a telecommunication payment point. From this study case, a conclusion can be drawn for the best aggregation method for the selection of the best location to set up a business of the telecommunication nature.

Item Type: Book Section
Uncontrolled Keywords: Decision support, location, site selection
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD28-70 Management. Industrial Management > HD30.2 Electronic data processing. Information technology. Including artificial intelligence and knowledge management
Divisions: Faculty of Computing and Informatics (FCI)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 08 Feb 2022 03:17
Last Modified: 08 Feb 2022 03:17
URII: http://shdl.mmu.edu.my/id/eprint/9071

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