Determining Optimal Municipal Solid Waste Management Scenario Based on Best-Worst Method

Li, Zhiwei; Jia, Xiaoping; Jin, Huixia; Ma, Lei; Xu, Chao; Wei, Huangzhao

doi:10.3846/jeelm.2021.14843

Cited by 10 publications

(2 citation statements)

References 46 publications

(53 reference statements)

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“…Solid waste can be divided into “urban solid wastes (USWs),” “special wastes (SWs),” and “industrial wastes (IWs).” The USWs usually contain non-hazardous wastes, while SWs refer to radioactive, medical, and toxic wastes, and IWs refer to industrial wastes, which can be produced from industry or municipal. USWs are also called municipal solid wastes (Li et al, 2021 ).…”

Section: Introductionmentioning

confidence: 99%

“…Industrialization, economic growth, and improving life standards have resulted into increased amount of solid wastes; as a result, the proper management of these wastes is a challenging task for urban communities, particularly in developing countries (Habib et al, 2019 ). The development and structure of “solid waste management (SWM)” can be categorized into assessment of waste treatment methods, distribution of solid wastes and its residues from the producer to the treatment or disposal sites, and assessment of transportation directions (Li et al, 2021 ; Bilgilioglu et al, 2022 ). Selection of “solid waste disposal method (SWDM)” is an intricate “multi-criteria decision-making (MCDM)” problem because of the participation of many tangible and intangible criteria related to politics, socio-cultural, technical, economic, and environmental aspects (Rahimi et al, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

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Entropy and discrimination measures based q-rung orthopair fuzzy MULTIMOORA framework for selecting solid waste disposal method

Mishra¹,

Rani

Pamučar

et al. 2022

Environ Sci Pollut Res

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Fastest growing population, rapid urbanization, and growth in the disciplines of science and technology cause continually development in the amount and diversity of solid waste. In modern world, evaluation of an appropriate solid waste disposal method (SWDM) can be referred as multi-criteria decision-making (MCDM) problem due to involvement of several conflicting quantitative and qualitative sustainability indicators. The imprecision and ambiguity are usually arisen in SWDM assessment problem, and the q-rung orthopair fuzzy set (q-ROFS) has been recognized as one of the adaptable and valuable ways to tackle the complex uncertain information arisen in realistic problems. In the context of q-ROFSs, entropy is a significant measure for depicting fuzziness and uncertain information of q-ROFS and the discrimination measure is generally used to quantify the distance between two q-ROFSs by evaluating the amount of their discrimination. Thus, the aim of this study is to propose a novel integrated framework based on multi-attribute multi-objective optimization with the ratio analysis (MULTIMOORA) method with q-rung orthopair fuzzy information (q-ROFI). In this approach, an integrated weighting process is presented by combining objective and subjective weights of criteria with q-ROFI. Inspired by the q-rung orthopair fuzzy entropy and discrimination measure, objective weights of criteria are estimated by entropy and discrimination measure-based model. Whereas, the subjective weights are derived based on aggregation operator and the score function under q-ROFS environment. In this respect, novel entropy and discrimination measure are proposed for q-ROFSs. Furthermore, to display the feasibility and usefulness of the introduced approach, a case study related to SWD method selection is presented under q-ROFS perspective. Finally, comparison and sensitivity investigation are presented to confirm the robustness and solidity of the introduced approach.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Entropy and discrimination measures based q-rung orthopair fuzzy MULTIMOORA framework for selecting solid waste disposal method

Mishra¹,

Rani

Pamučar

et al. 2022

Environ Sci Pollut Res

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Flood-based critical sub-watershed mapping: comparative application of multi-criteria decision making methods and hydrological modeling approach

Khiavi

Vafakhah

Sadeghi

2023

Stoch Environ Res Risk Assess

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The effects of Sub-Watersheds (SWs) on each other can be more important in Flood Generation Potential (FGP). Therefore, the present study aims for prioritizing SWs based on FGP using Multi-Criteria Decision Making (MCDM) Methods including Game Theory (GT), Best-Worst Method (BWM), Analytic Hierarchy Process (AHP), Analytical Network Process (ANP), Fuzzy Analytic Hierarchy Process (FAHP), Fuzzy Analytical Network Process (FANP) and comparing its results with Hydrological Modeling Approach (HMA) in the Cheshmeh-Kileh Watershed, Iran. In GT, Condorcet algorithm were used. The best and worst criteria were identi ed using the BWM and compared with other criteria. In AHP and ANP, expert opinions were used and the nal weight of criteria and alternative was calculated using Expert Choice and Super Decision softwares. ArcGIS10.1 software was also used to fuzzy and provide FAHP and FANP. In HMA, HEC-HMS software was used to calculate the discharge with return periods of 10-and 100-year, and nally, in all methods, FGP maps were prepared in three classes and SWs were prioritized. Based on the results of different methods, SWs 9, 2, 7, 10 and 11 were given high FGP priority. Downstream SWs were also in a noncritical state due to dense forest cover and low slope. A comparative evaluation between the methods showed that BWM had the same result as the eld evidence and HMA results and this method provided the best result. Based on SWs prioritization in BWM, high and low FGP were 33.33 and 46.67% of the study area, respectively. After BWM, GT gave a relatively good result. AHP, ANP, FAHP and FANP presented different results, but had poor performance in identifying critical areas. This study showed that optimal MCDM approaches can be used for ood management.

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Evaluation and selection of healthcare waste incinerators using extended sustainability criteria and multi-criteria analysis methods

Puška

Stević

Pamučar

2021

Environ Dev Sustain

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Disposal of healthcare waste is a key issue of environmental sustainability in the world. The amount of healthcare waste is increasing every day, and it is necessary to adequately dispose of this kind of waste. There are various treatments for healthcare waste disposal, of which incineration of healthcare waste is one of the solutions. This paper suggests a model for selection of the type of incinerators that best solve the problem of healthcare waste in secondary healthcare institutions in Bosnia and Herzegovina. In the selection of incinerators, extended sustainability criteria were applied. Basic sustainability criteria: environmental, economic, and social criteria, were extended with the technical criterion. To assess which of the incinerators best meets the needs for healthcare waste collection, multi-criteria decision-making was used. For this purpose, a combination of two MCDA methods was applied in this paper, namely full consistency method (FUCOM) and compromise ranking of alternatives from distance to ideal solution (CRADIS). The FUCOM method was applied to determine the weights of the criteria, while the CRADIS method was applied to rank the alternatives. The best alternative of the six alternatives used is A2 (I8-M50), followed by alternative A1 (I8-M40), while the worst ranked alternative is A5 (I8-M100). These results were confirmed by applying the other six methods of multi-criteria analysis and the performed sensitivity analysis. The contribution of this paper is reflected through a new method of multi-criteria analysis that was used to solve decision-making problems. This method has shown simplicity and flexibility in operation and can be used in all problems when it is necessary to make a multi-criteria selection of alternatives.

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Determining Optimal Municipal Solid Waste Management Scenario Based on Best-Worst Method

Cited by 10 publications

References 46 publications

Entropy and discrimination measures based q-rung orthopair fuzzy MULTIMOORA framework for selecting solid waste disposal method

Entropy and discrimination measures based q-rung orthopair fuzzy MULTIMOORA framework for selecting solid waste disposal method

Flood-based critical sub-watershed mapping: comparative application of multi-criteria decision making methods and hydrological modeling approach

Evaluation and selection of healthcare waste incinerators using extended sustainability criteria and multi-criteria analysis methods

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