Integrating Multi-Criteria Decision-Making Methods with Sustainable Engineering: A Comprehensive Review of Current Practices

Eng—Advances in Engineering, Journal Year: 2023, Volume and Issue: 4(2), P. 1536 - 1549

Published: May 31, 2023

Multi-criteria decision-making (MCDM) methods have gained increased attention in sustainable engineering, where complex problems require consideration of multiple criteria and stakeholder perspectives. This review paper provides a comprehensive overview the different MCDM methods, their applications strengths weaknesses. The discusses concept its principles, areas been applied, including energy, manufacturing, transportation, environmental engineering. Case studies real-world are presented analyzed, highlighting main findings implications for engineering practice. Finally, challenges limitations discussed, future research directions proposed. contributes to understanding role guidance researchers practitioners.

Language: Английский

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A novel q-rung orthopair fuzzy best-worst method, Shannon entropy and MARCOS method for mobile medical app service quality evaluation

Applied Soft Computing, Journal Year: 2024, Volume and Issue: 155, P. 111417 - 111417

Published: Feb. 21, 2024

Language: Английский

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Fermatean fuzzy sets and its extensions: a systematic literature review

Artificial Intelligence Review, Journal Year: 2024, Volume and Issue: 57(6)

Published: May 9, 2024

Abstract The Fermatean Fuzzy Set (FFS) theory emerges as a crucial and prevalent tool in addressing uncertainty across diverse domains. Despite its recognized utility managing ambiguous information, recent research lacks comprehensive analysis of key FFS areas, applications, gaps, outcomes. This study, conducted through the Scientific Procedures Rationales for Systematic Literature Reviews (SPAR-4-SLR) protocol, delves into an exploration literature, reviewing 135 relevant articles. documents are meticulously analyzed based on their integrated methodologies, Aggregation Operators (AOs), linguistic sets, extensions. Additionally, thematic analysis, facilitated by Bibliometrix tool, is presented to provide nuanced insights future directions areas within literature. study unveils valuable findings, including integration variables with interval-valued FFS, fostering robust environments dynamic decision-making—a mere glimpse potential research. gaps section further articulates recommendations, offering structured foundation researchers enhance understanding chart studies confidently.

Language: Английский

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When content-centric networking meets multi-criteria group decision-making: Optimal cache placement policy achieved by MARCOS with q-rung orthopair fuzzy set pair analysis

Engineering Applications of Artificial Intelligence, Journal Year: 2023, Volume and Issue: 123, P. 106231 - 106231

Published: April 4, 2023

Assessing the cache placement policy (CPP) is a crucial step in deployment process of content-centric networking (CCN), which still an open question. In this paper, assessing CPP formulated to be multi-criteria group decision-making (MCGDM) issue since it involves consideration multiple experts, and new aggregated MCGDM algorithm presented for dealing with issue. On that account, assessment criteria system formulate portray these experts' considerations CPPs, then concepts q-rung orthopair fuzzy set (q-ROFS) pair analysis (SPA) are directly indirectly define preference information CPPs respect criteria, respectively. Later, some revised aggregation operators employed aggregating information. Then, integrated objective weights (IOCW) method based on score value combined non-linear comprehensive given determining important degrees criteria. Based IOCW method, function, distance measure, operators, model MARCOS (Measurement Alternatives Ranking according COmpromise Solution) developed rank CPPs. Finally, example illustrate evaluation CPP, advantages verified by comparative analysis.

Language: Английский

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Emergency logistics centers site selection by multi-criteria decision-making and GIS

International Journal of Disaster Risk Reduction, Journal Year: 2023, Volume and Issue: 96, P. 103921 - 103921

Published: Aug. 5, 2023

Language: Английский

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Choquet-Like Integrals With Rough Attribute Fuzzy Measures for Data-Driven Decision-Making

IEEE Transactions on Fuzzy Systems, Journal Year: 2024, Volume and Issue: 32(5), P. 2825 - 2836

Published: Feb. 7, 2024

As nonlinear fuzzy aggregation functions, Choquetlike integrals with measures are widely used in decisionmaking, rule-based classification and information fusion. However, the existing Choquet-like typically provided via human intervention, not driven by data, thereby significantly limiting automation level of resulting systems. an effective data-driven tool, rough set theory has shown its great potential for attribute reduction while dealing many real-world problems. Nonetheless, different methods generally lead to outcomes, whilst obtaining all reductions exhaustively is NP-hard. Therefore, it interesting challenge induce sets, using corresponding establish a datadriven decision-making method which applicable practical To tackle this challenge, based on introduced here. Also, novel model exploiting integrals, problems fault diagnosis classification. First, form measure through specificity named as measure. Second, decision systems, concept p-matching degree between two objects defined over domain attributes. Third, degrees, type integral established. Subsequently new network associated computational algorithm provided. The proposed approach evaluated both numerical examples public datasets demonstrate efficacy.

Language: Английский

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Preference-based regret three-way decision method on multiple decision information systems with linguistic Z-numbers

Information Sciences, Journal Year: 2023, Volume and Issue: 654, P. 119861 - 119861

Published: Nov. 8, 2023

Language: Английский

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Integrated knowledge management in the supply chain: Assessment of knowledge adoption solutions through a comprehensive CoCoSo method under uncertainty

Journal of Industrial Information Integration, Journal Year: 2024, Volume and Issue: 39, P. 100581 - 100581

Published: Feb. 10, 2024

Language: Английский

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Structure‐property modeling of pharmacokinetic characteristics of anticancer drugs via topological indices, multigraph modeling and multi‐criteria decision making

International Journal of Quantum Chemistry, Journal Year: 2024, Volume and Issue: 124(11)

Published: June 3, 2024

Abstract This study presents an in‐depth inquiry into estimating ADME properties for promising anticancer drugs, particularly amino acid‐based alkylating agents, through ev‐ve degree topological indices and QSPR analysis. The aim of the is to compare multigraph modeling simple graph in six properties. Results demonstrate that modeling's superior performance, with notable high correlations such as maximum passive absorption (MPA) using M‐ev index, compared ‐ev index. emphasizes need sophisticated techniques drug development. primary objective structure descriptors, followed by analysis determine better approach MCDM weight allocation validate correlation values, enhancing understanding estimators identifying potential drugs. underscores importance considering various methods approaches reliable decision‐making healthcare contexts.

Language: Английский

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Reformative ROCOSD–ORESTE–LDA model with an MLP neural network to enhance decision reliability

Knowledge-Based Systems, Journal Year: 2024, Volume and Issue: 286, P. 111384 - 111384

Published: Jan. 11, 2024

Language: Английский

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