Site selection decision of waste-to-energy projects based on an extended cloud-TODIM method from the perspective of low-carbon

Gao, Jianwei; Li, Xiangzhen; Guo, Fengjia; Huang, Xin; Men, Huijuan; Li, Ming

doi:10.1016/j.jclepro.2021.127036

Cited by 25 publications

(5 citation statements)

References 45 publications

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“…An extended cloud TODIM (Tomada de Decisão Iterativa Multicritério) method is proposed, which describes the evaluation information through a credible fuzzy language term set (HFLTS), and converts the fuzzy language term set into a cloud to fully describe the ambiguity, uncertainty, and randomness. Then, a combination of network analysis method (ANP) and entropy weight method is used to calculate the criterion weight [ 50 ].…”

Section: Literature Review and Methodologymentioning

confidence: 99%

A Hybrid Multi-Criteria Decision-Making Approach Based on ANP-Entropy TOPSIS for Building Materials Supplier Selection

Chen¹

2021

Entropy

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This article will tell you how to combine “entropy” in the model to reduce the bias of multi-criteria evaluation. Subjective weights are usually determined by decision makers based on their professional background, experience and knowledge, and other factors. The objective weight is obtained by constructing an evaluation matrix of the information based on the actual information of the evaluation criteria of the scheme, and obtained through multi-step calculations. Different decision-making methods are based on different weight types. Considering only one of the two weights often leads to biased results. In addition, in order to establish an effective supply chain, buyers must find suitable merchants among suppliers that provide quality products and/or services. Based on the above factors, it is difficult to choose a suitable alternative. The main contribution of this paper is to combine analytic network process (ANP), entropy weight and the technique for order preference by similarity to an ideal solution (TOPSIS) to construct a suitable multi-criteria decision (MCDM) model. By means of ANP-entropy weights to extend the TOPSIS method, ANP-entropy weights are used to replace subjective weights. A supplier selection decision-making model based on ANP-entropy TOPSIS is proposed. At last, the sensitivity analysis shows that, taking the selection of building materials suppliers as an example, the hybrid ANP-entropy TOPSIS method can effectively select suitable suppliers.

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Section: Literature Review and Methodologymentioning

confidence: 99%

A Hybrid Multi-Criteria Decision-Making Approach Based on ANP-Entropy TOPSIS for Building Materials Supplier Selection

Chen¹

2021

Entropy

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“…However which has a significant impact on decision-making process (Gao et al, 2021;Zhang et al, 2023). Therefore, it is essential to consider the psychological behavior of evaluators.…”

Section: Research Gaps and Contributionsmentioning

confidence: 99%

“…As a result, the traditional WINGS has been further extended in this study by incorporating DTN and DTCN‐based IVFFSs logic, which offers superior benefits in managing uncertainty compared to trapezoidal fuzzy and interval‐valued intuitionistic fuzzy models. The traditional ranking methods, such as Multi‐Attributive Border Approximation Area Comparison (MABAC), Combined Compromise Solution (CoCoSo), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), Preference Ranking Organization Method for Enrichment Evaluation (PROMETHREE‐II), Multi‐Objective Optimization on the basis of Ratio Analysis (MOORA), Weighted Aggregated Sum Product Assessment (WASPAS), Additive Ratio Assessment (ARAS), IVFFSs Enhanced Data Authentication System (EDAS), Grey Relation Analysis (GRA), and IVFFSs Combinative Distance‐based Assessment (CODAS) are incompetent in handling the psychological behavior of decision makers which has a significant impact on decision‐making process (Gao et al, 2021; Zhang et al, 2023). Therefore, it is essential to consider the psychological behavior of evaluators.…”

Section: Literature Reviewmentioning

confidence: 99%

Leveraging environmental, social, and governance strategies for sustainable tannery solid waste management towards achieving sustainable development goals

Moktadir,

Ren

2023

Sustainable Development

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Tannery solid waste (TSW) management is vital for promoting sustainable development in the leather industry. However, sustainable management of TSW is challenging as it contains hazardous chemicals. Implementing environmental, social, and governance (ESG) practices can support managing TSW towards achieving sustainable development goals (SDGs). However, it is not easy to implement ESG practices for TSW management since numerous challenges exist in the system. To assist TSW management through ESG implementation, it is imperative to investigate the interactions among challenges and mitigation strategies. However, the existing decision‐making models cannot deal with the uncertainty and vagueness on a border scale during interaction evaluation and alternatives ranking. Additionally, there is a shortage of scientific works on ESG practices in emerging economies. Therefore, this study, for the first time, offers an integrated novel Dombi t‐norm and Dombi t‐conorm grounded interval valued Fermatean fuzzy sets (IVFFSs) Delphi, an extended IVFFSs‐weighted influence non‐liner Gause system (WINGS), and novel IVFFSs‐TODIM approach which is utterly lacking in the present literature. Also, the study offers a strategic roadmap to understand the interlinkage of findings with SDGs. The results of the IVFFSs‐WINGS analysis confirmed that the “Lack of solid waste management policy” is the most critical challenge for ESG implementation. Further, IVFFSs‐TODIM analysis confirmed that the “Policy development for TSW management complying with ESG and SDGs” is the top ESG challenges mitigation strategy for TSW management. The study's findings will provide guidance for government agencies, policymakers, and relevant stakeholders of the emerging economies tannery industry for successful implementation of ESG practices, thus helping to achieve SDGs.

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“…Gao et al [51] Solar energy Evaluation of solar farms locations in Morocco AHP Mensour et al [52] Waste-to-energy Selection of appropriate WtE technology considering both subjective perspective of decision-maker and objective evaluation of the actual performance metrics of each alternative Fuzzy-AHP, Fuzzy-Entropy and Fuzzy-Multi-Objective Optimisation Alao et al [53] Biomethane in the transport sector…”

Section: Ndc Domains Where Mcdm Have Been Appliedmentioning

confidence: 99%

A systematic review of the application of multi-criteria decision-making in evaluating Nationally Determined Contribution projects

Abanda

Chia²,

Enongene³

et al. 2022

Decision Analytics Journal

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Site selection decision of waste-to-energy projects based on an extended cloud-TODIM method from the perspective of low-carbon

Cited by 25 publications

References 45 publications

A Hybrid Multi-Criteria Decision-Making Approach Based on ANP-Entropy TOPSIS for Building Materials Supplier Selection

A Hybrid Multi-Criteria Decision-Making Approach Based on ANP-Entropy TOPSIS for Building Materials Supplier Selection

Leveraging environmental, social, and governance strategies for sustainable tannery solid waste management towards achieving sustainable development goals

A systematic review of the application of multi-criteria decision-making in evaluating Nationally Determined Contribution projects

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