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Waste Clothing Recycling Channel Selection Using a CoCoSo-D Method Based on Sine Trigonometric Interaction Operational Laws with Pythagorean Fuzzy Information

Author

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  • Haolun Wang

    (Research Center of the Central China for Economic and Social Development, Nanchang 330031, China
    School of Economics and Management, Nanchang University, Nanchang 330031, China)

  • Faming Zhang

    (School of Business, Guilin University of Electronic Technology, Guilin 541001, China)

  • Kifayat Ullah

    (Department of Mathematics, Riphah Institute of Computing and Applied Sciences, Riphah International University Lahore, Lahore 54000, Pakistan)

Abstract

Under the influence of circular economy theory, waste clothing recycling has been widely studied in the resource sector, and the waste clothing recycling channel (WCRC) is the vital link that affects the recycling efficiency of waste clothing. How to select the optimal WCRC is considered a typical multiple attribute group decision-making (MAGDM) problem. In this article, we develop sine trigonometric interaction operational laws (IOLs) (STIOLs) using Pythagorean fuzzy information. The sine trigonometric interaction Pythagorean fuzzy weighted averaging (STI-PyFWA) and sine trigonometric interaction Pythagorean fuzzy weighted geometric (STI-PyFWG) operators are advanced, and their several desirable properties are discussed. Further, we build a MAGDM framework based on the modified Pythagorean fuzzy CoCoSo (Combined Compromise Solution) method to solve the WCRC selection problem. The combined weight of attributes is determined, and the proposed aggregation operators (AOs) are applied to the CoCoSo method. A Pythagorean fuzzy distance measure is used to achieve the defuzzification of aggregation strategies. Finally, we deal with the WCRC selection problem for a sustainable environment by implementing the proposed method and performing sensitivity analysis and comparative study to validate its effectiveness and superiority.

Suggested Citation

  • Haolun Wang & Faming Zhang & Kifayat Ullah, 2022. "Waste Clothing Recycling Channel Selection Using a CoCoSo-D Method Based on Sine Trigonometric Interaction Operational Laws with Pythagorean Fuzzy Information," Energies, MDPI, vol. 15(6), pages 1-28, March.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:6:p:2010-:d:767658
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    Cited by:

    1. Maria Akram & Kifayat Ullah & Goran Ćirović & Dragan Pamucar, 2023. "Algorithm for Energy Resource Selection Using Priority Degree-Based Aggregation Operators with Generalized Orthopair Fuzzy Information and Aczel–Alsina Aggregation Operators," Energies, MDPI, vol. 16(6), pages 1-22, March.
    2. Mujab Waqar & Kifayat Ullah & Dragan Pamucar & Goran Jovanov & Ðordje Vranješ, 2022. "An Approach for the Analysis of Energy Resource Selection Based on Attributes by Using Dombi T-Norm Based Aggregation Operators," Energies, MDPI, vol. 15(11), pages 1-23, May.
    3. Gudivada Durga Bhavani & Ieva Meidute-Kavaliauskiene & Ghanshaym S. Mahapatra & Renata Činčikaitė, 2022. "Pythagorean Fuzzy Storage Capacity with Controllable Carbon Emission Incorporating Green Technology Investment on a Two-Depository System," Energies, MDPI, vol. 15(23), pages 1-34, November.
    4. Binbin Xu & Qing Chen & Bailu Fu & Rong Zheng & Jintu Fan, 2022. "Current Situation and Construction of Recycling System in China for Post-Consumer Textile Waste," Sustainability, MDPI, vol. 14(24), pages 1-17, December.

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