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

Wang, Haolun; Zhang, Faming; Ullah, Kifayat

doi:10.3390/en15062010

Cited by 15 publications

(7 citation statements)

References 82 publications

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“…CoCoSo method has been used for renewable energy investments evaluation (Mi and Liao, 2020), assessing and prioritizing failures in a production process (Yousefi et al, 2021), evaluating the green growth indicators for sustainable development (Alrasheedi et al, 2021), healthcare sector performances evaluation (Torkayesh et al, 2021b), assessing significant circular practices in the context of emerging economies (Khan and Haleem, 2021), identifying the most apposite spray painting robot for an automobile industry (Kumar et al, 2022), social sustainability performance (Torkayesh et al, 2021a), selection of insulation materials (Ulutas ¸et al, 2021), cloud service provider selection (Mandal and Khan, 2022), financial risk evaluation (Peng and Huang, 2020). prioritizing of industrial wastewater management processes (Adar et al, 2022), waste clothing recycling channel selection (Wang et al, 2022) and assessment of sustainable development goals (Stanujkic et al, 2020). MAIRCA method has been performed in some studies like prioritizing the railway infrastructure projects (Pamucar et al, 2022), flood susceptibility evaluation (Hadian et al, 2022), material selection (Chatterjee and Chakraborty, 2022), supplier selection (Badi and Ballem, 2018), evaluation of macroeconomic performance (Belke, 2020), location selection for waste disposal (Pirbasti et al, 2020), vaccine selection (Ecer, 2022), overtourism assessment (Garc ıa Mestanza and Bakhat, 2021), selection of sites for ammunition depots (Gigovi c et al, 2016), menu evaluation for restaurant management (Arsi c et al, 2019) and determination of constructive elements of weapons (Bo zani c et al, 2020).…”

Section: Applications Of Mcdm Methodsmentioning

confidence: 99%

Applications of MCDM methods for the assessment of sustainable development: a case study of fashion textile group

Özdağoğlu,

Acar,

Güner

et al. 2024

MEQ

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PurposeThe textile industry harms the environment at every stage of production, from the acquisition of raw materials to the disposal of finished products. It is very important for the textile industry to adapt to the basic policies on environmental sensitivity and sustainability to keep up with the transformation in production processes and the rapid changes occurring around the world in order to exist in global competition. Within the scope of sustainable development goals, it is of great importance to measure and evaluate indicators of all processes of the sector. This paper aims to present application of multi-criteria decision making (MCDM) methods for the assessment of sustainable development in textile industry.Design/methodology/approachThe data of a multinational clothing company’s four-year sustainability performance between 2018 and 2021 were evaluated under 22 sustainability parameters determined using two new MCDM techniques, namely the combined consensus solution method and multi-attribute ideal real comparative analysis. In determining the criteria, priority key indicators were determined by taking into account the sector’s relationship with the environment, raw material consumption and social adequacy.FindingsAccording to the application results of both methods, the year 2021 shows the best performance. It has been seen that the sustainability performance of the Inditex group has increased over the years and the results of the applied models support each other. It can be suggested that the proposed approach be applied to evaluate the progress in the textile sector with the relevant data on a particular company or on a macro scale.Originality/valueThis study makes an important contribution to the field in terms of the fact that the methods used are recent and have no application in the field of textiles. It allows the evaluation of different sustainability criteria together using a single method. It is very important to share data on sustainability indicators with customers, employees, suppliers, investors, partner organizations and society and evaluate performance. Analyzing sustainability performance on the basis of annual reports is important in terms of identifying good practices, sharing them with the community and setting an example. In addition, using scientific methods in the evaluation of the sustainability report data published by companies regularly provides significant feedback for policymakers and academics.

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Section: Applications Of Mcdm Methodsmentioning

confidence: 99%

Applications of MCDM methods for the assessment of sustainable development: a case study of fashion textile group

Özdağoğlu,

Acar,

Güner

et al. 2024

MEQ

View full text Add to dashboard Cite

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“…The advantage of creating FFSs apart from q-ROFSs is that the q = 3 operation gives enough breadth to solve most decision problems. There are some recent studies in which IFSs [95,110], PFSs [111,112] and q-ROFSs [113,114] were used. On the other hand, FFS enables for more general uncertainty modeling than IFS and PFS because the sum of the IFS membership and non-membership degrees must equal one.…”

Section: Methodsmentioning

confidence: 99%

Assessing Green Approaches and Digital Marketing Strategies for Twin Transition via Fermatean Fuzzy SWARA-COPRAS

Korucuk

Ayteki̇n

Ecer

et al. 2022

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Integrating green approaches and digital marketing strategies for Information and Communication Technologies (ICTs), which reduce environmental risks to desired levels by eliminating emissions and pollution, is considered one of the most promising solutions for logistics companies. The study strives to bring a practical and applicable solution to the decision problem involving the selection of indicators for green approaches and digital marketing strategies for ICTs in the logistics sector. An integrated Fermatean Fuzzy Step-wise Weight Assessment Ratio Analysis (FF–SWARA) and Fermatean Fuzzy Complex Proportional Assessment (FF–COPRAS) methodology is applied to evaluate green approaches and digital marketing strategies. Concerning the findings, the foremost criterion is “data management,” whereas the best strategy is “programmatic advertising.” To the best of the authors’ knowledge, there is no other study that both offers a strategy selection for the logistics industry and considers environmental protection, sustainability, digital transformation, energy costs, and social and economic factors. The study is a part of ongoing research on productivity, sustainability, the environment, digitization, recycling and estimating levels of waste reduction, as well as business practices, competitiveness and ensuring employee satisfaction and resource efficiency. Also, it investigates the similarities and dissimilarities in the green approach practices of business in logistics and determines the extent to which these practices could be reflected. It is expected to ensure a roadmap for green approach practices and to support sustainable and ecological awareness efforts for ICTs in the logistics sector. Logistics companies can select an integrated digital strategy based on green informatics that suits them using the decision model employed in this study, which can handle uncertainties effectively. In this regard, the study’s findings, which focus on reaching customers and the most precise target audience in digital applications for businesses, are critical for developing strategy, plan and process.

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“…Wen et al [36] explored the CoCoSo method in hesitant fuzzy linguistic environment. Wang et al [37] discussed the CoCoSo method and theri application to real life problems.…”

Section: A Brief Review On the Development Of Cocoso Methodsmentioning

confidence: 99%

Analysis of S-Box Based on Image Encryption Application Using Complex Fuzzy Credibility Frank Aggregation Operators

et al. 2022

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This article is about a criterion based on credibility complex fuzzy set (CCFS) to study the prevailing substitution boxes (S-box) and learn their properties to find out their suitability in image encryption applications. Also these criterion has its own properties which is discussed in detailed and on the basis of these properties we have to find the best optimal results and decide the suitability of an S-box to image encryption applications. S-box is the only components which produces the confusion in the every block cipher in the formation of image encryption. So, for this first we have to convert the matrix having colour image using the nonlinear components and also using the proposed algebraic structure of credibility complex fuzzy set to find the best S-box for image encryption based on its criterion. The analyses show that the readings of GRAY S-box is very good for image data. Contributions: As from literaure reveiw a FS contained one MD and IFS conatined two degrees which is MD and NMD. As these generalization of crisp set there is no detailed about the degree of accuarcy (credibility). So, here in this paper we have used the CFCS information which has MD and degree of credibility (accuracy) as well as we have develop a series of aggregation operators which is based on the Frank norms. And also we have discussed CoCoSo method under CFCS information.

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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

Cited by 15 publications

References 82 publications

Applications of MCDM methods for the assessment of sustainable development: a case study of fashion textile group

Applications of MCDM methods for the assessment of sustainable development: a case study of fashion textile group

Assessing Green Approaches and Digital Marketing Strategies for Twin Transition via Fermatean Fuzzy SWARA-COPRAS

Analysis of S-Box Based on Image Encryption Application Using Complex Fuzzy Credibility Frank Aggregation Operators

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