<p>The significant challenges of rapid urbanization and population growth have led to waste generation. Currently, selecting the most appropriate solid waste disposal technique is crucial for ensuring environmental sustainability and public health protection. This study presents an extended interval-valued q-Rung Orthopair Picture Bipolar Fuzzy Set (IVq-ROPBFS) based Multi-Criteria Decision-Making (MCDM) approach for municipal solid waste disposal method selection. After a comprehensive literature review of this application, nine factors were considered: initial cost, operational cost, Transportation, Ecological risks, carbon emissions, air pollution, Feasibility, Reliability, Capacity, Efficiency, Waste recovery, and energy recovery. This study introduces IVq-ROPBFS to formulate the decision matrix, properties of IVq-ROPBFS, Extended Integrated Determination of Objective CRIteria Weights (IDOCRIW) combining CRiteria Importance Through Intercriteria Correlation (CRITIC) and Criterion Impact Loss (CILOS) to calculate the weights of the given factors. Moreover, the ranking was analyzed using the EXtended Preference Ranking Organization Method for Enrichment of Evaluations- II (EXPROM-II). The proposed model alternative ranking results were as follows: incineration (0.1227) > plasma gasification (0.1013) > bioremediation (0.0825) > composting (<InlineEquation ID="IEq1"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="13762_2025_6442_Article_IEq1.gif" Format="GIF" Height="13" Rendition="HTML" Resolution="72" Type="Linedraw" Width="19" /> </InlineMediaObject> <EquationSource Format="TEX">$-$</EquationSource> <EquationSource Format="MATHML"><math> <mo>-</mo> </math></EquationSource> </InlineEquation> 0.1179) > landfill (<InlineEquation ID="IEq2"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="13762_2025_6442_Article_IEq1.gif" Format="GIF" Height="13" Rendition="HTML" Resolution="72" Type="Linedraw" Width="19" /> </InlineMediaObject> <EquationSource Format="TEX">$-$</EquationSource> <EquationSource Format="MATHML"><math> <mo>-</mo> </math></EquationSource> </InlineEquation> 0.1883). The results of the proposed method were validated through fifteen cases for comparative analysis, Spearman correlation, and sensitivity analysis to demonstrate reliability and efficiency. The results show that the implementation of incineration will provide more energy recovery, volume reduction, pathogen destruction, land space conservation, and regulatory compliance, which are most appropriate for complex solid waste management landscapes.</p>

Stratified enhanced interval-valued q-rung orthopair picture bipolar fuzzy decision-making approach for municipal solid waste disposal technique selection

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发表日期：

2025年4月9日

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T. N. Parthasarathy,
C. S. Thilagasree,
T. Jayakumar,
V. Simic,
D. Pamucar

摘要

The significant challenges of rapid urbanization and population growth have led to waste generation. Currently, selecting the most appropriate solid waste disposal technique is crucial for ensuring environmental sustainability and public health protection. This study presents an extended interval-valued q-Rung Orthopair Picture Bipolar Fuzzy Set (IVq-ROPBFS) based Multi-Criteria Decision-Making (MCDM) approach for municipal solid waste disposal method selection. After a comprehensive literature review of this application, nine factors were considered: initial cost, operational cost, Transportation, Ecological risks, carbon emissions, air pollution, Feasibility, Reliability, Capacity, Efficiency, Waste recovery, and energy recovery. This study introduces IVq-ROPBFS to formulate the decision matrix, properties of IVq-ROPBFS, Extended Integrated Determination of Objective CRIteria Weights (IDOCRIW) combining CRiteria Importance Through Intercriteria Correlation (CRITIC) and Criterion Impact Loss (CILOS) to calculate the weights of the given factors. Moreover, the ranking was analyzed using the EXtended Preference Ranking Organization Method for Enrichment of Evaluations- II (EXPROM-II). The proposed model alternative ranking results were as follows: incineration (0.1227) > plasma gasification (0.1013) > bioremediation (0.0825) > composting ( $-$ $-$ 0.1179) > landfill ( $-$ $-$ 0.1883). The results of the proposed method were validated through fifteen cases for comparative analysis, Spearman correlation, and sensitivity analysis to demonstrate reliability and efficiency. The results show that the implementation of incineration will provide more energy recovery, volume reduction, pathogen destruction, land space conservation, and regulatory compliance, which are most appropriate for complex solid waste management landscapes.