A study of AHP-WASPAS method to solve laptop selection problem / Aqil Syahimi llani Abdul Manan ... [et al.]

Choosing the best alternatives while considering multiple conflicting criteria is a complex decision-making process. The hybridisation of Analytic Hierarchy Process (AHP) method and Weighted Aggregated Sum Product Assessment (WASPAS) known as AHP-WASPAS method are among the methods that can be used...

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Bibliographic Details
Main Authors: Abdul Manan, Aqil Syahimi llani, Azimi, Sarah Nadhirah, Ismail, Muhammad lzzat, Mahad’, Nor Paradilah
Format: Monograph
Language:English
Published: UiTM Cawangan Negeri Sembilan Kampus Seremban 2022
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/68817/1/68817.pdf
https://ir.uitm.edu.my/id/eprint/68817/
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Institution: Universiti Teknologi Mara
Language: English
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Summary:Choosing the best alternatives while considering multiple conflicting criteria is a complex decision-making process. The hybridisation of Analytic Hierarchy Process (AHP) method and Weighted Aggregated Sum Product Assessment (WASPAS) known as AHP-WASPAS method are among the methods that can be used to ease the process. In this study, real-life data about the laptop selection for the administrative offices of a supermarket (Aytac Adali & Tus lsik, 2017) was applied to implement the method. The objectives of the study are to solve the laptop selection problem and to determine the ranking of the alternatives by using AHP-WASPAS method. The WASPAS method is an integration method of Weight Sum Model (WSM) and Weight Product Model (WPM). By combining both WSM and WPM methods, the WASPAS method is said to be more beneficial as the accuracy of WASPAS method increases the ranking accuracy of the alternatives (Hashemkhani Zolfani et al., 2013). AHP method is used to compute the weight for criteria since it has consistency in providing weight to its parameter while WSM, WPM and WASPAS methods have no consistency (Hadikurniawati et aL, 2018). In conclusion, the AHP-WASPAS method is applied to solve the problem because it is relatively simple based on its mathematical principles (Utami et al., 2019).