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Debnath, Kalyani, Debnath, Piyali, Choudhury, Sudipa, Saha, Apu, Majumdar, Abhijit. (1402). A framework of Trapezoidal Fuzzy Best-Worst Method in Location Selection for Surface Water Treatment Plant. , 10(1), 1-16. doi: 10.22059/poll.2023.349799.1656
Kalyani Debnath; Piyali Debnath; Sudipa Choudhury; Apu Kumar Saha; Abhijit Majumdar. "A framework of Trapezoidal Fuzzy Best-Worst Method in Location Selection for Surface Water Treatment Plant". , 10, 1, 1402, 1-16. doi: 10.22059/poll.2023.349799.1656
Debnath, Kalyani, Debnath, Piyali, Choudhury, Sudipa, Saha, Apu, Majumdar, Abhijit. (1402). 'A framework of Trapezoidal Fuzzy Best-Worst Method in Location Selection for Surface Water Treatment Plant', , 10(1), pp. 1-16. doi: 10.22059/poll.2023.349799.1656
Debnath, Kalyani, Debnath, Piyali, Choudhury, Sudipa, Saha, Apu, Majumdar, Abhijit. A framework of Trapezoidal Fuzzy Best-Worst Method in Location Selection for Surface Water Treatment Plant. , 1402; 10(1): 1-16. doi: 10.22059/poll.2023.349799.1656

A framework of Trapezoidal Fuzzy Best-Worst Method in Location Selection for Surface Water Treatment Plant

Pollution
دوره 10، شماره 1، فروردین 2024، صفحه 1-16    اصل مقاله (955.95 K)
نوع مقاله: Original Research Paper
شناسه دیجیتال (DOI): 10.22059/poll.2023.349799.1656
نویسندگان
Kalyani Debnath1؛ Piyali Debnath1؛ Sudipa Choudhury* 1؛ Apu Kumar Saha1؛ Abhijit Majumdar2
1Department of Mathematics, National Institute of Technology Agartala, Tripura-799046, India
2Department of Textile Technology, Indian Institute of Technology Delhi, New Delhi, India
چکیده
Decision-making under uncertainty refers to a dilemma when a decision-maker is aware of a variety of potential natural states but lacks adequate information to assign any probabilities of occurrence to them. The uncertainty related to the input parameters is one of the main issues in the majority of decision-making situations. Uncertainty may produce some irrational results, which could make the decision-making process even more challenging. To overcome this challenge, a fuzzy extension of Best-Worst Method (BWM) has been proposed, using trapezoidal fuzzy sets, to combine the advantages of a reduced number of pair-wise comparisons and easy handling of ambiguity. The criteria and alternatives have been evaluated by the proposed Trapezoidal Fuzzy Best-Worst Method (TrFBWM), where the weight of each element is represented by a Trapezoidal Fuzzy Number (TrFN). To verify the coherence of judgment, the consistency ratio is evaluated for TrFBWM. The proposed method is then applied to the location selection of a water treatment plant along the bank of the Brahmaputra river in Assam. The obtained results are compared to one previous work and found that the outcomes of the proposed method indicate a good agreement with that. The outcomes of the study provide useful insights for selecting a suitable location for a surface water treatment plant which can also be extended to other service facilities.
کلیدواژه‌ها
Fuzzy best-worst method؛ Trapezoidal Fuzzy number؛ Multi-criteria decision-making؛ Surface water treatment plant
مراجع
Arabani, M., & Pirouz, M. (2016). Water treatment plant site location using rough set theory. 
Environmental monitoring and assessment, 188(10), 1-12.
Berkan, R. C., & Trubatch, S. L. (2000). Fuzzy systems design principles (pp. 22–131).
Calizaya, A., Meixner, O., Bengtsson, L., & Berndtsson, R. (2010). Multi-criteria decision             analysis (MCDA) for integrated water resources management (IWRM) in the Lake Poopo Basin, Bolivia. Water resources management, 24(10), 2267-2289.
Chen, C. T., Lin, C. T., & Huang, S. F. (2006). A fuzzy approach for supplier evaluation and  selection in supply chain management. International journal of production economics, 102(2), 289-301.
Chen, S. J., & Chen, S. M. (2007). Fuzzy risk analysis based on the ranking of generalized trapezoidal fuzzy numbers. Applied intelligence, 26(1), 1-11.
Chen, Z., Ming, X., Zhou, T., Chang, Y., & Sun, Z. (2020). A hybrid framework integrating  rough-fuzzy best-worst method to identify and evaluate user activity-oriented service requirement for smart product service system. Journal of cleaner production, 253, 119954.
Choudhury, S., Saha, A. K., & Majumder, M. (2018). Recognizing the Risk Factors of Water Treatment Plants Using a Hybrid MCDM Method. Envtl. Pol’y & L., 48, 74.
Choudhury, S., Howladar, P., Majumder, M., & Saha, A. K. (2019). Application of novel           MCDM for location selection of surface water treatment plant. IEEE Transactions on Engineering Management.
Choudhury, S., Saha, A. K., & Majumder, M. (2020). Optimal location selection for installation of surface water treatment plant by Gini coefficient-based analytical hierarchy process. Environment, Development and Sustainability, 22(5), 4073-4099.
Do, Q. H., Chen, J. F., & Hsieh, H. N. (2015). Trapezoidal fuzzy AHP and fuzzy comprehensive evaluation approaches for evaluating academic library service. WSEAS Trans. Comput, 14, 607-619.
Ghosh, A., Mal, P., & Majumdar, A. (2019). Advanced optimization and decision-making techniques in textile manufacturing. Crc Press.
Govindan, K., Rajendran, S., Sarkis, J., & Murugesan, P. (2015). Multi criteria decision making approaches for green supplier evaluation and selection: a literature review. Journal of cleaner production, 98, 66-83.
Ho, W., Xu, X., & Dey, P. K. (2010). Multi-criteria decision making approaches for supplier evaluation and selection: A literature review. European Journal of operational research, 202(1), 16-24.
Jajac, N., Marović, I., Rogulj, K., & Kilić, J. (2019). Decision support concept to selection of wastewater treatment plant location—The case study of town of Kutina, Croatia. Water, 11(4), 717.
Karasan, A., Ilbahar, E., & Kahraman, C. (2019). A novel pythagorean fuzzy AHP and its application to landfill site selection problem. Soft Computing, 23(21), 10953-10968.
Karimi, H., Sadeghi-Dastaki, M., & Javan, M. (2020). A fully fuzzy best–worst multi attribute decision making method with triangular fuzzy number: A case study of maintenance assessment in the hospitals. Applied Soft Computing, 86, 105882.
Moslem, S., Gul, M., Farooq, D., Celik, E., Ghorbanzadeh, O., & Blaschke, T. (2020). An integrated approach of best-worst method (bwm) and triangular fuzzy sets for evaluating driver behavior factors related to road safety. Mathematics, 8(3), 414.
Omrani, H., Alizadeh, A., & Emrouznejad, A. (2018). Finding the optimal combination of power plants alternatives: A multi response Taguchi-neural network using TOPSIS and fuzzy best-worst method. Journal of Cleaner Production, 203, 210-223.
Pedrero, F., Albuquerque, A., do Monte, H. M., Cavaleiro, V., & Alarcón, J. J. (2011). Application of GIS-based multi-criteria analysis for site selection of aquifer recharge with  reclaimed water. Resources, Conservation and Recycling, 56(1), 105-116.
Rahmani, A., Hosseinzadeh Lotfi, F., Rostamy-Malkhalifeh, M., & Allahviranloo, T. (2016). A new method for defuzzification and ranking of fuzzy numbers based on the statistical beta distribution. Advances in Fuzzy Systems, 2016.
Ramya, S., & Devadas, V. (2019). Integration of GIS, AHP and TOPSIS in evaluating suitable locations for industrial development: A case of Tehri Garhwal district, Uttarakhand, India. Journal of cleaner production, 238, 117872.
Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega, 53, 49-57.
Rezaei, J. (2016). Best-worst multi-criteria decision-making method: Some properties and a linear model. Omega, 64, 126-130.
Saaty, T. L. (2008). The Analytic Hierarchy Process, McGrawHill, New York, 1980. 
Saha, A. K., Choudhury, S., & Majumder, M. (2017). Performance efficiency analysis of water treatment plants by using MCDM and neural network model. MATTER: International Journal of Science and Technology, 3(1), 27-35.
Sánchez-Lozano, J. M., García-Cascales, M. S., & Lamata, M. T. (2015). Evaluation of suitable locations for the installation of solar thermoelectric power plants. Computers & Industrial Engineering, 87, 343-355.
Scarpa, R., Notaro, S., Louviere, J., & Raffaelli, R. (2011). Exploring scale effects of best/worst rank ordered choice data to estimate benefits of tourism in alpine grazing commons. American Journal of Agricultural Economics, 93(3), 813-828.
Shimray, B. A., Singh, K. M., & Mehta, R. K. (2017). A survey of multi-criteria decision making 
technique used in renewable energy planning. International Journal of Computer, 4523, 124-140.
Vasiloglou, V., Lokkas, F., & Gravanis, G. (2009). New tool for wastewater treatment units location. Desalination, 248(1-3), 1039-1048.
Wichapa, N., & Khokhajaikiat, P. (2017). Solving multi-objective facility location problem     using the fuzzy analytical hierarchy process and goal programming: a case study on infectious waste disposal centers. Operations Research Perspectives, 4, 39-48.
Wondim, T. T., & Dzwairo, B. (2018). A scenario-based multiple attribute decision-making approach for site selection of a wastewater treatment plant: Bahir Dar City (Ethiopia) case study. Water SA, 44(4), 782-794.
Xiao, Z., Xia, S., Gong, K., & Li, D. (2012). The trapezoidal fuzzy soft set and its application in MCDM. Applied Mathematical Modelling, 36(12), 5844-5855.
Zadeh, L. A. (1965). Fuzzy sets. Information and control, 8(3), 338-353.

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