Interval-valued Fermatean fuzzy heronian mean operator-based decision-making method for urban climate change policy for transportation activities

Mishra, Arunodaya Raj; Rani, Pratibha; Deveci, Muhammet; Gökaşar, Ilgın; Pamučar, Dragan; Govindan, Kannan

doi:10.1016/j.engappai.2023.106603

Cited by 19 publications

(2 citation statements)

References 56 publications

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“…Research has employed methodologies such as fuzzy TOPSIS-PROMETHEE II [18], AHP-TOPSIS [19], DPSIR-PROMETHEE [20], 2-Tuple-GDM [21], SF-SWARA-MARCOS [22], and TOPSIS [23] for the evaluation of adaptation scenarios for climate change impacts. Additionally, alternative methodologies have been suggested, including T2NN-MEREC-MARCOS [24], fuzzy Einstein WASPAS [25], fuzzy 2D algorithm [26], IVFF-MEREC-RS-MULTIMOORA [27], IVFF-CRITIC-RS-DNMA [28], C-IFS-FWZIC-ARAS [29] to explore various aspects of climate change.…”

Section: Literature Reviewmentioning

confidence: 99%

Integrated Spherical Decision-Making Model for Managing Climate Change Risks in Africa

Bouraima,

Ibrahim,

Qiu

et al. 2024

J. Soft. Comput. Decis. Anal.

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Decision-makers, researchers, practitioners, and stakeholders often struggle with selecting and prioritizing strategies to manage climate change risks. While recent research extensively explores this issue, the emphasis has largely been on regions other than Africa. This is significant, considering Africa’s anticipated exposure to various and severe impacts of climate change. This study applied a two-stage model that integrates the Step-Wise Weight Assessment Ratio Analysis (SWARA) and Weighted Aggregated Sum Product Assessment (WASPAS) methods within a unique framework under the influence of spherical fuzzy (SF) conditions. In the initial stage, SF-SWARA determines the relative importance of the criteria, while the subsequent stage involves the SF-WASPAS method to rank the strategies. While the most critical challenges are limited access to finance and inadequacies in climate data, scenarios, and impact models, the solution to be considered is the promotion of a well-coordinated capacity-building programme. Furthermore, a comprehensive sensitivity analysis was conducted to validate the applicability of the proposed model. This research not only identifies and explains the challenges associated with climate change risks management in the African context but also significantly contributes to the body of knowledge by outlining and prioritizing the strategies required to address these challenges.

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Section: Literature Reviewmentioning

confidence: 99%

Integrated Spherical Decision-Making Model for Managing Climate Change Risks in Africa

Bouraima,

Ibrahim,

Qiu

et al. 2024

J. Soft. Comput. Decis. Anal.

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“…Deveci et al (2023) enhanced studies on the flexibility of transportation networks in the face of CC. Mishra et al (2023) outlined strategies to decrease greenhouse gas emissions from transportation, aiding urban CC policies. Table 2 contains field-related studies.…”

Section: Applications Of Mcdm To Ccm Studiesmentioning

confidence: 99%

A Decision-Making Model for Prioritizing Low-Carbon Policies in Climate Change Mitigation

Qiu,

Bouraima,

Badi

et al. 2024

CIS

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Climate change (CC) represents a paramount environmental challenge, necessitating the deployment of sustainable, low-carbon strategies particularly in developing regions such as Africa. This study introduces a novel decision-making framework aimed at enhancing the prioritization of policies to combat the adverse effects of CC. The proposed two-stage model employs the integration of Step-Wise Weight Assessment Ratio Analysis (SWARA) and Weighted Aggregated Sum Product Assessment (WASPAS) under spherical fuzzy (SF) conditions to address the strategic sequencing of sustainable policies. Initially, SF-SWARA is utilized to ascertain the relative significance of diverse criteria. Subsequently, the SF-WASPAS method ranks these policies, facilitating informed decision-making. The primary obstacles identified include limited institutional capacity, insufficient financial resources, and technological constraints, for which strategic alternatives are proposed. Moreover, rigorous sensitivity and comparative analyses affirm the model's applicability. By systematically delineating and prioritizing necessary policies, this study contributes significantly to the scholarly discourse on climate mitigation (CM) in an African context.

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Fermatean fuzzy sets and its extensions: a systematic literature review

Büyüközkan,

Uztürk,

Ilıcak

2024

Artif Intell Rev

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

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Interval-valued Fermatean fuzzy heronian mean operator-based decision-making method for urban climate change policy for transportation activities

Cited by 19 publications

References 56 publications

Integrated Spherical Decision-Making Model for Managing Climate Change Risks in Africa

Integrated Spherical Decision-Making Model for Managing Climate Change Risks in Africa

A Decision-Making Model for Prioritizing Low-Carbon Policies in Climate Change Mitigation

Fermatean fuzzy sets and its extensions: a systematic literature review

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