Development of a Hybrid Decision Support System for Selecting the Air Filters Based on Multiple Criteria-Reference-Cited by-同舟云学术

Development of a Hybrid Decision Support System for Selecting the Air Filters Based on Multiple Criteria

Published:2024-05-08 Issue:02 Volume:3 Page:55-61
ISSN:2961-872X
Container-title:Engineering Science Letter
language:
Short-container-title:ESL

Author:

Nguyen Thi Thao Uyen^ORCID,Nguyen Vu Anh Duy^ORCID,Nguyen Huu-Tho^ORCID,Ghazali Ihwan^ORCID

Abstract

To select an air purifier that fully meets the needs of consumers, this study was conducted to provide the most objective and effective suggestions in making decisions and evaluating different smart purifier options that suit the tastes of users. Such decision-making is complicated for non-professionals when there are countless large and small brands on the market today with many different prices, features, and incentives. In such complex situations, decision-making with TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) can be used to eliminate risk and to better represent the preferences of decision-makers. From modeling to using the Entropy method and the TOPSIS method, all are done to serve the ultimate goal of choosing a good air purifier that meets the needs of customers.

Publisher

The Indonesian Institute of Science and Technology Research

Reference27 articles.

1. E. Cooper, Y. Wang, S. Stamp, E. Burman, and D. Mumovic, "Use of portable air purifiers in homes: Operating behavior, effect on indoor PM2.5 and perceived indoor air quality," Building and Environment, vol. 191, p. 107621, 2021/03/15/ 2021, doi: https://doi.org/10.1016/j.buildenv.2021.107621.

2. M. Fazlzadeh, M. Salarifar, M. S. Hassanvand, R. Nabizadeh, M. Shamsipour, and K. Naddafi, "Health benefits of using air purifier to reduce exposure to PM2.5-bound polycyclic aromatic hydrocarbons (PAHs), heavy metals and ions," Journal of Cleaner Production, vol. 352, p. 131457, 2022/06/10/ 2022, doi: https://doi.org/10.1016/j.jclepro.2022.131457.

3. G. Büyüközkan and S. Güleryüz, "Multi-Criteria Group Decision Making Approach for Smart Phone Selection Using Intuitionistic Fuzzy TOPSIS," International Journal of Computational Intelligence Systems, vol. 9, no. 4, pp. 709-725, 2016/01/01 2016, doi: 10.1080/18756891.2016.1204119.

4. G. Işıklar and G. Büyüközkan, "Using a multi-criteria decision-making approach to evaluate mobile phone alternatives," Computer Standards & Interfaces, vol. 29, no. 2, pp. 265-274, 2007.

5. R. Al-Aomar, "A robust simulation-based multicriteria optimization methodology," in Proceedings of the Winter Simulation Conference, 8-11 Dec. 2002 2002, vol. 2, pp. 1931-1939 vol.2, doi: 10.1109/WSC.2002.1166492.