Developing a new framework for conceptualizing the emerging sustainable community-based tourism using an extended interval-valued Pythagorean fuzzy SWARA-MULTIMOORA

He, Jun; Huang, Zilong; Mishra, Arunodaya Raj; Alrasheedi, Melfi

doi:10.1016/j.techfore.2021.120955

Cited by 62 publications

(28 citation statements)

References 139 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To measure the subjective weights, an innovative stepwise weight assessment ratio analysis (SWARA) approach was initiated by Kersuliene et al ( 2010 ). The advantage of SWARA is that its computational work is simpler than that of different tools such as the analytic hierarchy process (AHP) (Yang et al 2021 ; He et al 2021 ). Currently, to estimate the criteria weights, the analytic network process (ANP) (Saaty 1999 ) and AHP (Saaty 1977 ) are the most popular methods, while amongst the novel approaches to determining the criteria weight, the most considerable methods include SWARA, full consistency method (FUCOM) (Pamučar et al 2018 ), best–worst method (BWM) (Rezaei 2015 ), and level -based weight assessment (LBWA) (Žižović and Pamucar 2019 ).…”

Section: Introductionmentioning

confidence: 99%

RETRACTED ARTICLE: Evaluate the challenges of sustainable supply chain 4.0 implementation under the circular economy concept using new decision making approach

Xin

Lang

Mishra³

2022

Oper Manag Res

Self Cite

View full text Add to dashboard Cite

Industry 4.0 has the potential of growing industrialization and, on the other hand, disrupting the sustainability of prevailing manufacturing supply chains through inducing great challenges such as higher resource consumption that, in turn, results in global warming and climate change. As a result, researchers working in the area of sustainable supply chain 4.0 need to make deep evaluations on the challenges arising for manufacturing supply chains contemplating the improvement of their sustainability levels and having a digital transformation toward Industry 4.0. To fill this gap, the current paper designs an innovative framework on the basis of the Stepwise Weight Assessment Ratio Analysis (SWARA) technique and the Complex Proportional Assessment (COPRAS) approach to evaluate the challenges that may arise for supply chain 4.0 in the q-Rung Orthopair Fuzzy Sets (q-ROFSs) setting. The proposed method uses an extended SWARA process to determine the criteria importance degrees considering the experts’ preferences. The performance of the proposed method was assessed by conducting an empirical case study under the q-ROFSs condition. Further, a sensitivity analysis was executed to check whether the proposed method is stable enough to be relied on parameter values. Finally, the results obtained were compared to those of currently used methods to verify the obtained results’ reliability. As revealed by the comparative results, the framework proposed in this article was of higher consistency and strength compared to other prevailing approaches.

show abstract

Section: Introductionmentioning

confidence: 99%

RETRACTED ARTICLE: Evaluate the challenges of sustainable supply chain 4.0 implementation under the circular economy concept using new decision making approach

Xin

Lang

Mishra³

2022

Oper Manag Res

Self Cite

View full text Add to dashboard Cite

show abstract

“…To confirm the applicability of the proposed IVPF-SWARA-MULTIMOORA approach to real-world decision-making problems, a sustainable CBT problem was considered as a case study. The final results confirmed the efficiency of the proposed approach as well as its consistency with the existing ones [10]. New private tourism firms play a key role in promoting local and national wealth creation.…”

Section: Literature Reviewsupporting

confidence: 72%

Uncertainty analysis of tourism components in Tabriz

Parviznejad

Bahrami

2021

IJIMES

View full text Add to dashboard Cite

Purpose: Predicting the profitability of the tourism industry is always faced with uncertainties. Especially in the last two years, when the global pandemic conditions have added to it. The purpose of this study is to investigate and analyze the uncertainties in the components affecting tourism in Tabriz. Methodology: In addition to library studies, interviews with experts and professors in the field of tourism have been conducted in order to identify the components affecting tourism. Input factors in four areas of strategic planning, tourism potentials, regional conditions and infrastructure facilities and effective consequences on the problem in two economic areas and tourism consequences are categorized. Then, to explain the uncertainty of the obtained components, a fuzzy system is designed in MATLAB software. The system is based on an ifthen rule approach with 84 rules that determine the relationship between input and output variables. Findings: Our findings from the fuzzy system model show that following the current situation, the tourism outcome of Tabriz will be normal and its economic consequences for the city of Tabriz will be inappropriate due to its historical and economic history. Also, changes in regional conditions and urban potentials do not cause much change in the tourism situation. The results of the model show that simply paying attention to the plan and infrastructure without considering other conditions does not create a suitable situation for tourism. That is, plans and infrastructure should serve the better development of urban places and potentials and the proper bedding of regional conditions. Originality/Value: Despite several years of capital and commercial center of Iran and high capabilities, Tabriz has not been able to achieve a good position in the Iranian tourism industry. Some of these factors are related to the uncertainty in plans and policies, etc. This article with this approach is an innovation in explaining the tourism conditions of Tabriz.

show abstract

“…Saraji et al [49] discussed the hesitant fuzzy-SWARA-MULTIMOORA methodology to analyse the challenges to adapt the online education during the COVID-19 pandemic. He et al [50] provided the SWARA-MULTIMOORA approach on "interval-valued Pythagorean fuzzy sets (IVPFSs)" to study the current status of "sustainable community-based tourism (CBT)" in Indian Himalayan region. Rani et al [51] offered a combined method with the CRITIC-MULTIMOORA on SVNSs to handle the food waste treatment technique assessment problem.…”

Section: Literatue Reviewmentioning

confidence: 99%

An Integrated Decision Support Framework Using Single-Valued-MEREC-MULTIMOORA for Low Carbon Tourism Strategy Assessment

Mishra¹,

Saha

Rani³

et al. 2022

IEEE Access

View full text Add to dashboard Cite

show abstract

Developing a new framework for conceptualizing the emerging sustainable community-based tourism using an extended interval-valued Pythagorean fuzzy SWARA-MULTIMOORA

Cited by 62 publications

References 139 publications

RETRACTED ARTICLE: Evaluate the challenges of sustainable supply chain 4.0 implementation under the circular economy concept using new decision making approach

RETRACTED ARTICLE: Evaluate the challenges of sustainable supply chain 4.0 implementation under the circular economy concept using new decision making approach

Uncertainty analysis of tourism components in Tabriz

An Integrated Decision Support Framework Using Single-Valued-MEREC-MULTIMOORA for Low Carbon Tourism Strategy Assessment

Contact Info

Product

Resources

About