Development of a Hybrid Decision Support System for Selecting the Air Filters Based on Multiple Criteria
Keywords:
Air Purifier, Entropy Method, MCDM, TOPSISAbstract
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.
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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. DOI: https://doi.org/10.1016/j.buildenv.2021.107621
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. DOI: https://doi.org/10.1016/j.jclepro.2022.131457
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. DOI: https://doi.org/10.1080/18756891.2016.1204119
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. DOI: https://doi.org/10.1016/j.csi.2006.05.002
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. DOI: https://doi.org/10.1109/WSC.2002.1166492
C.-L. Hwang and K. Yoon, Multiple attribute decision making: methods and applications a state-of-the-art survey. Springer Science & Business Media, 2012.
P. Chen, "Effects of the entropy weight on TOPSIS," Expert Systems with Applications, vol. 168, p. 114186, 2021/04/15/ 2021, doi: https://doi.org/10.1016/j.eswa.2020.114186. DOI: https://doi.org/10.1016/j.eswa.2020.114186
V. Chodha, R. Dubey, R. Kumar, S. Singh, and S. Kaur, "Selection of industrial arc welding robot with TOPSIS and Entropy MCDM techniques," Materials Today: Proceedings, vol. 50, pp. 709-715, 2022/01/01/ 2022, doi: https://doi.org/10.1016/j.matpr.2021.04.487. DOI: https://doi.org/10.1016/j.matpr.2021.04.487
S. S. Goswami and D. K. Behera, "Implementation of ENTROPY-ARAS decision-making methodology in the selection of best engineering materials," Materials Today: Proceedings, vol. 38, pp. 2256-2262, 2021/01/01/ 2021, doi: https://doi.org/10.1016/j.matpr.2020.06.320. DOI: https://doi.org/10.1016/j.matpr.2020.06.320
T. L. Saaty, "The analytic hierarchy process (AHP)," The Journal of the Operational Research Society, vol. 41, no. 11, pp. 1073-1076, 1980.
T. L. Saaty, "Decision making — the Analytic Hierarchy and Network Processes (AHP/ANP)," Journal of Systems Science and Systems Engineering, vol. 13, no. 1, pp. 1-35, 2004/03/01 2004, doi: 10.1007/s11518-006-0151-5. DOI: https://doi.org/10.1007/s11518-006-0151-5
M. Tavana, M. Soltanifar, and F. J. Santos-Arteaga, "Analytical hierarchy process: revolution and evolution," Annals of Operations Research, vol. 326, no. 2, pp. 879-907, 2023/07/01 2023, doi: 10.1007/s10479-021-04432-2. DOI: https://doi.org/10.1007/s10479-021-04432-2
T. L. Saaty, "The Analytic Hierarchy and Analytic Network Processes for the Measurement of Intangible Criteria and for Decision-Making," in Multiple Criteria Decision Analysis: State of the Art Surveys, S. Greco, M. Ehrgott, and J. R. Figueira Eds. New York, NY: Springer New York, 2016, pp. 363-419. DOI: https://doi.org/10.1007/978-1-4939-3094-4_10
T. L. Saaty and L. G. Vargas, "An Analytic Network Process Model for Financial-Crisis Forecasting," in Decision Making with the Analytic Network Process: Economic, Political, Social and Technological Applications with Benefits, Opportunities, Costs, and Risks, T. L. Saaty and L. G. Vargas Eds. Boston, MA: Springer US, 2013, pp. 75-92.
T. L. Saaty and L. G. Vargas, "The Analytic Network Process," in Decision Making with the Analytic Network Process: Economic, Political, Social and Technological Applications with Benefits, Opportunities, Costs and Risks, T. L. Saaty and L. G. Vargas Eds. Boston, MA: Springer US, 2013, pp. 1-40. DOI: https://doi.org/10.1007/978-1-4614-7279-7
J.-C. Pomerol and S. Barba-Romero, Multicriterion decision in management: principles and practice. Springer Science & Business Media, 2012.
R. Srinivasa and D. Kumar, "Multicriterion analysis in engineering and management," PHL Learning Private Limited, Delhi, vol. 266, 2014.
B. Sampath, S. C, and S. Myilsamy, "Application of TOPSIS Optimization Technique in the Micro-Machining Process," in Trends, Paradigms, and Advances in Mechatronics Engineering, M. A. Mellal Ed. Hershey, PA, USA: IGI Global, 2023, pp. 162-187. DOI: https://doi.org/10.4018/978-1-6684-5887-7.ch009
Z. Li, Z. Luo, Y. Wang, G. Fan, and J. Zhang, "Suitability evaluation system for the shallow geothermal energy implementation in the region by Entropy Weight Method and TOPSIS method," Renewable Energy, vol. 184, pp. 564-576, 2022/01/01/ 2022, doi: https://doi.org/10.1016/j.renene.2021.11.112. DOI: https://doi.org/10.1016/j.renene.2021.11.112
S. G. Meshram, E. Alvandi, C. Meshram, E. Kahya, and A. M. Fadhil Al-Quraishi, "Application of SAW and TOPSIS in Prioritizing Watersheds," Water Resources Management, vol. 34, no. 2, pp. 715-732, 2020/01/01 2020, doi: 10.1007/s11269-019-02470-x. DOI: https://doi.org/10.1007/s11269-019-02470-x
R. Long, H. Li, M. Wu, and W. Li, "Dynamic evaluation of the green development level of China's coal-resource-based cities using the TOPSIS method," Resources Policy, vol. 74, p. 102415, 2021/12/01/ 2021, doi: https://doi.org/10.1016/j.resourpol.2021.102415. DOI: https://doi.org/10.1016/j.resourpol.2021.102415
S. Hezer, E. Gelmez, and E. Özceylan, "Comparative analysis of TOPSIS, VIKOR and COPRAS methods for the COVID-19 Regional Safety Assessment," Journal of Infection and Public Health, vol. 14, no. 6, pp. 775-786, 2021/06/01/ 2021, doi: https://doi.org/10.1016/j.jiph.2021.03.003. DOI: https://doi.org/10.1016/j.jiph.2021.03.003
Y.-J. Leng and H. Zhang, "Comprehensive evaluation of renewable energy development level based on game theory and TOPSIS," Computers & Industrial Engineering, vol. 175, p. 108873, 2023/01/01/ 2023, doi: https://doi.org/10.1016/j.cie.2022.108873. DOI: https://doi.org/10.1016/j.cie.2022.108873
S. Bathrinath, R. K. A. Bhalaji, and S. Saravanasankar, "Risk analysis in textile industries using AHP-TOPSIS," Materials Today: Proceedings, vol. 45, pp. 1257-1263, 2021/01/01/ 2021, doi: https://doi.org/10.1016/j.matpr.2020.04.722. DOI: https://doi.org/10.1016/j.matpr.2020.04.722
V. Singh, V. Kumar, and V. B. Singh, "A hybrid novel fuzzy AHP-TOPSIS technique for selecting parameter-influencing testing in software development," Decision Analytics Journal, vol. 6, p. 100159, 2023/03/01/ 2023, doi: https://doi.org/10.1016/j.dajour.2022.100159. DOI: https://doi.org/10.1016/j.dajour.2022.100159
S.-J. Chen and C.-L. Hwang, "Fuzzy Multiple Attribute Decision Making Methods," in Fuzzy Multiple Attribute Decision Making: Methods and Applications, S.-J. Chen and C.-L. Hwang Eds. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992, pp. 289-486. DOI: https://doi.org/10.1007/978-3-642-46768-4_5
S. Opricovic and G.-H. Tzeng, "Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS," European Journal of Operational Research, vol. 156, no. 2, pp. 445-455, 2004/07/16/ 2004, doi: https://doi.org/10.1016/S0377-2217(03)00020-1. DOI: https://doi.org/10.1016/S0377-2217(03)00020-1
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