Combining FUCA, CURLI, and Weighting Methods in the Decision-Making of Selecting Technical Products
Received: 6 May 2023 | Revised: 25 May 2023 | Accepted: 2 June 2023 | Online: 26 June 2023
Corresponding author: Anh-Tu Nguyen
Determining the optimal one from the available alternatives is useful in numerous aspects of life. The process of selecting technical products from an available catalog also follows this pattern. This study was carried out to select the best from two types of technical products, the ones that serve in daily life at home, and products that are used in the agriculture field. Air conditioners and washing machines are considered indispensable items in every household. These two types of products directly affect human lives and also indirectly influence labor productivity. Unmanned Aerial Vehicles (UAVs) are used in numerous tasks in the agriculture field, such as inspecting irrigation systems, checking for factors that can harm agricultural products, etc. However, making the decision to buy one of those three types of products may become complicated. This research was conducted to select the best alternative for each of those products. The different types of air conditioners, washing machines, and drones considered in this study were 9, 8, and 7, respectively. Two methods, i.e. RS (Rank Sum) and PIPRECIA (PIvot Pairwise RElative Criteria Importance Assessment) were used to determine the weights for the criteria of each product category. The FUCA (Faire Un Choix Adéquat) method was used in combination with the two weighting methods mentioned above to rank the alternatives of each product category. The CURLI (Collaborative Unbiased Rank List Integration) method was used to complete this task. So, for each product category, there will be three different ranking results. An interesting thing has been achieved is that for each product category, these different ranking results gave the same best solution.
Keywords:MCDM, Weight Method, FUCA Method, CURLI Method
H. K. Le, "Multi-Criteria Decision Making in the Milling Process Using the PARIS Method," Engineering, Technology & Applied Science Research, vol. 12, no. 5, pp. 9208–9216, Oct. 2022.
A.-T. Nguyen, "Expanding the Data Normalization Strategy to the MACONT Method for Multi-Criteria Decision Making," Engineering, Technology & Applied Science Research, vol. 13, no. 2, pp. 10489–10495, Apr. 2023.
T. Huy et al., "Multi - Criteria Decision - Making for electric bicycle selection," Advanced Engineering Letters, vol. 1, no. 4, pp. 126–135, Jan. 2023.
D. D. Trung, "Development of data normalization methods for multi-criteria decision making: applying for MARCOS method," Manufacturing Review, vol. 9, 2022, Art. no. 22.
M. Mendoza Luis Fernando, J. L. Perez Escobedo, C. Azzaro-Pantel, L. Pibouleau, S. Domenech, and A. Aguilar-Lasserre, "Selecting the best portfolio alternative from a hybrid multiobjective GA-MCDM approach for New Product Development in the pharmaceutical industry," in IEEE Symposium on Computational Intelligence in Multicriteria Decision-Making (MDCM), Paris, France, Apr. 2011, pp. 159–166.
D. T. Do, "Application of FUCA Method for Multi-Criteria Decision Making in Mechanical Machining Processes," Operational Research in Engineering Sciences: Theory and Applications, vol. 5, no. 3, pp. 131–152, Dec. 2022.
M. Baydas, "The effect of pandemic conditions on financial success rankings of BIST SME industrial companies: a different evaluation with the help of comparison of special capabilities of MOORA, MABAC and FUCA methods," Business & Management Studies: An International Journal, vol. 10, no. 1, pp. 245–260, 2022.
M. Baydas, "Comparison of the Performances of MCDM Methods under Uncertainty: An Analysis on Bist SME Industry Index," OPUS Journal of Society Research, vol. 19, no. 46, pp. 308–326, Mar. 2022.
M. Baydas and D. Pamucar, "Determining Objective Characteristics of MCDM Methods under Uncertainty: An Exploration Study with Financial Data," Mathematics, vol. 10, no. 7, Jan. 2022, Art. no. 1115.
M. Baydas, O. E. Elma, and D. Pamucar, "Exploring the specific capacity of different multi criteria decision making approaches under uncertainty using data from financial markets," Expert Systems with Applications, vol. 197, Jul. 2022, Art. no. 116755.
A. Ouattara, L. Pibouleau, C. Azzaro-Pantel, S. Domenech, P. Baudet, and B. Yao, "Economic and environmental strategies for process design," Computers & Chemical Engineering, vol. 36, pp. 174–188, Jan. 2012.
D. D. Trung, N. X. Truong, and H. X. Thinh, "Combined PIPRECIA method and modified FUCA method for selection of lathe," Journal of Applied Engineering Science, vol. 20, no. 4, pp. 1355–1365, Oct. 2022.
D. Stanujkic, E. K. Zavadskas, D. Karabasevic, F. Smarandache, and Z. Turskis, "The Use Of The Pivot Pairwise Relative Criteria Importance Assessment Method For Determining The Weights Of Criteria," Journal for Economic Forecasting, vol. 20, no. 4, pp. 116–133, 2017.
D. Stanujkic, D. Karabasevic, and G. Popovic, "Ranking alternatives using PIPRECIA method: A case of hotels’ website evaluation," Journal of Process Management and New Technologies, vol. 9, no. 3–4, pp. 62–68, 2021.
A. Puska, A. Beganovic, I. Stojanovic, and S. Murtic, "Green supplier’s selection using economic and environmental criteria in medical industry," Environment, Development and Sustainability, Jul. 2022.
K. Jaukovic-Jocic, D. Karabasevic, and G. Jocic, "The use of the PIPRECIA method for assessing the quality of e-learning materials," Ekonomika, vol. 66, no. 3, pp. 37–45, 2020.
D. Karabasevic, G. Popovic, D. Stanujkic, M. Maksimovic, and C. Sava, "An approach for hotel type selection based on the Single-Valued Intuitionistic Fuzzy Numbers," International Review, no. 1–2, pp. 7–14, 2019.
A. Ulutas, G. Popovic, D. Stanujkic, D. Karabasevic, E. K. Zavadskas, and Z. Turskis, "A New Hybrid MCDM Model for Personnel Selection Based on a Novel Grey PIPRECIA and Grey OCRA Methods," Mathematics, vol. 8, no. 10, p. 1698, Oct. 2020.
D. D. Trung, "Application of TOPSIS and PIV methods for multi-criteria decision making in hard turning process," Journal of Machine Engineering, vol. 21, no. 4, pp. 57–71, 2021.
D. T. Do and N.-T. Nguyen, "Applying Cocoso, Mabac, Mairca, Eamr, Topsis and Weight Determination Methods for Multi-Criteria Decision Making in Hole Turning Process," Strojnícky časopis - Journal of Mechanical Engineering, vol. 72, no. 2, pp. 15–40, Nov. 2022.
D. D. Trung, H. X. Thinh, and L. D. Ha, "Comparison of the RAFSI and PIV method in multi-criteria decision making: application to turning processes," International Journal of Metrology and Quality Engineering, vol. 13, 2022, Art. no. 14.
H. X. Thinh and D. D. Trung, "A research on application of the measurement of alternatives and ranking according to compromise solution method for multi-criteria decision making in the grinding process," EUREKA: Physics and Engineering, no. 2, pp. 101–110, Mar. 2022.
D. D. Trung, "Multi-criteria decision making under the MARCOS method and the weighting methods: applied to milling, grinding and turning processes," Manufacturing Review, vol. 9, 2022, Art. no. 3.
G. O. Odu, "Weighting methods for multi-criteria decision making technique," Journal of Applied Sciences and Environmental Management, vol. 23, no. 8, pp. 1449–1457, Sep. 2019.
N. Hong Son and T. T. Hieu, "Selection of welding robot by multi-criteria decisionmaking method," Eastern-European Journal of Enterprise Technologies, vol. 121, no. 3, pp. 66–72, 2023.
D. D. Trung, "Multi-criteria decision making of turning operation based on PEG, PSI and CURLI methods," Manufacturing Review, vol. 9, 2022, Art. no. 9.
D. Tran, "Application of the Collaborative Unbiased Rank List Integration Method to Select the Materials," Applied Engineering Letters : Journal of Engineering and Applied Sciences, vol. 7, pp. 133–142, Dec. 2022.
T. V. Dua, "Combination of symmetry point of criterion, compromise ranking of alternatives from distance to ideal solution and collaborative unbiased rank list integration methods for woodworking machinery selection for small business in Vietnam," EUREKA: Physics and Engineering, no. 2, pp. 83–96, Mar. 2023.
N. H. Son et al., "Choosing the best machine tool in mechanical manufacturing," EUREKA: Physics and Engineering, no. 2, pp. 97–109, Mar. 2023.
A.-T. Nguyen, "The Improved CURLI Method for Multi-Criteria Decision Making," Engineering, Technology & Applied Science Research, vol. 13, no. 1, pp. 10121–10127, Feb. 2023.
D. D. Trung, N. N. Ba, and D. H. Tien, "Application of the Curli method for multi-critical decision of grinding process," Journal of Applied Engineering Science, vol. 20, no. 3, pp. 634–643, 2022.
S. Mufazzal and S. M. Muzakkir, "A new multi-criterion decision making (MCDM) method based on proximity indexed value for minimizing rank reversals," Computers & Industrial Engineering, vol. 119, pp. 427–438, May 2018.
"25L Agriculture Drone Spraying - Qingdao Zhongfei Intelligent Technology Co.,Ltd." https://brouav.com/25l-agriculture-drone-spraying-p.html.
"30L Pesticide Spraying Drone - Qingdao Zhongfei Intelligent Technology Co.,Ltd." https://brouav.com/30l-pesticide-spraying-drone-2-p.html.
"16L Agriculture Drone Sprayer." https://brouav.com/16l-agriculture-drone-sprayer-p.html.
"U50 Max." https://brouav.com/u50-max-c.html.
"72L Agriculture Drone Farming." https://brouav.com/72l-agriculture-drone-farming-p.html.
"DJI - Official Website," DJI Official. https://www.dji.com/gr/t40/specs.
"High Efficiency Agras T30 Drone Sprayer 30KG Agriculture Sprayer Agras t30 Drone For Spraying Agricultural Plant Protection Spraying Drones," UAV Supplier-Sinfox. https://www.ev-peak.com.hk/products/high-efficiency-agras-t30-drone-sprayer-30kg-agriculture-sprayer-agras-t30-drone-for-spraying-agricultural-plant-protection-spraying-drones.
How to Cite
MetricsAbstract Views: 246
PDF Downloads: 170
Copyright (c) 2023 Anh-Tu Nguyen
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain the copyright and grant the journal the right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) after its publication in ETASR with an acknowledgement of its initial publication in this journal.