Analysis of Priority Scale for Watershed Reforestation Using Trapezoidal Fuzzy VIKOR Method: A Case Study in Semarang, Central Java Indonesia

Sunarsih, Sunarsih; Pamurti, Rahayuning Dwi; Khabibah, Siti; Hadiyanto, Hadiyanto

doi:10.3390/sym12040507

Cited by 7 publications

(3 citation statements)

References 25 publications

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“…Liu et al (2012) applied TrFN based VIKOR to evaluate risk in failure mode and effects analysis; Vahabzadeh et al (2015) applied the fuzzy VIKOR method using interval‐valued TrFN to solve reverse logistics problem, and Wang, Pan, and He (2019) introduced interval type‐2 TrFN with the VIKOR method. Sunarsih et al (2020) performed a case study in Indonesia using TrFN VIKOR for a watershed re‐forestation problem.…”

Section: Methodsmentioning

confidence: 99%

Impediments of product recovery in circular supply chains: Implications for sustainable development

Agrawal¹,

Dwivedi

Patil

et al. 2022

Sustainable Development

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Product recovery has fascinated the concentration of organizations and is prominent among industry practitioners and researchers due to improved environmental concerns, social awareness, and economic benefits. Circular supply chain (CSC) compounds the concept of product recovery in global supply chain management to present a sustainable perspective. Therefore, this study aims to determine impediments of product recovery and CSC toward sustainable production and consumption in the background of manufacturing organizations. This study determines potential impediments from literature and in consultation with experts. Further, a fuzzy VIKOR approach is practiced to prioritize the impediments of product recovery and CSC. Then, a sensitivity analysis is conducted to verify the robustness of the framework attained. The results from the study reflect that “lack of collaboration from supply chain performers”, “lack of tax policies for facilitating CSC models” and “limited expertise, technology, information on CSC practices” are the critical impediments to product recovery in CSCs. The findings of the study could assist industry managers and practitioners in developing procedures and strategies to attain sustainable development.

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Section: Methodsmentioning

confidence: 99%

Impediments of product recovery in circular supply chains: Implications for sustainable development

Agrawal¹,

Dwivedi

Patil

et al. 2022

Sustainable Development

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“…Joshi and Kumar [39] extended the TOPSIS MCDM method by introducing a Choquet integral operator for an interval-valued intuitionistic hesitant fuzzy set for the alternative ranking purpose. BWM, TOPSIS, and VIKOR are very practical methods that have wide areas of application and success in decision processes [40][41][42][43][44][45][46].…”

Section: Literature Reviewmentioning

confidence: 99%

Comparative Analysis of Hybrid Fuzzy MCGDM Methodologies for Optimal Robot Selection Process

et al. 2021

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The generalized interval-valued trapezoidal fuzzy best-worst method (GITrF-BWM) provides more reliable and more consistent criteria weights for multiple criteria group decision making (MCGDM) problems. In this study, GITrF-BWM is integrated with the extended TOPSIS (technique for order preference by similarity to the ideal solution) and extended VIKOR (visekriterijumska optimizacija i kompromisno resenje) methods for the selection of the optimal industrial robot using fuzzy information. For a criteria-based selection process, assigning weights play a vital role and significantly affect the decision. Assigning weights based on direct opinions of decision makers can be biased, so weight deriving models, such as GITrF-BWM, overcome this discrepancy. In previous studies, generalized interval-valued trapezoidal fuzzy weights were not derived by using any MCGDM method for the robot selection process. For this study, both subjective and objective criteria are considered. The preferences of decision makers are provided with the help of linguistic terms that are then converted into fuzzy information. The stability and reliability of the methods were tested by performing sensitivity analysis, which showed that the ranking results of both the methodologies are not symmetrical, and the integration of GITrF-BWM with the extended TOPSIS method provides stable and reliable results as compared to the integration of GITrF-BWM with the extended VIKOR method. Hence, the proposed methodology provides robust optimal industrial robot selection.

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“…Hence, it is important that the fuzzy method is integrated with the entropy–VIKOR model in order to obtain more concrete and realistic results [ 33 ]. The fuzzy VIKOR model has been widely used in the field of development of indices and wells ranking systems [ 34 ], sustainable supplier selection [ 35 ], prioritization of watershed reforestation [ 36 ], energy systems assessment [ 37 ], water consumption pattern [ 38 ], construction project management [ 39 ], residential demand response [ 40 ] and water resource planning [ 41 ].…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of Construction Companies Using Integrated Entropy–Fuzzy VIKOR Model

Siew

Jaaman

Fai

2021

Entropy

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The construction sector plays an important role in a country’s economic development. The financial performance of a company is a good indicator of its financial health and status. In Malaysia, the government encourages the construction industry to develop an advanced infrastructure related to health, transport, education and housing. In view of the COVID-19 pandemic, the operations and financial performance of construction sector companies have been affected recently. Additionally, uncertainty plays a vital role in the multi-criteria decision-making (MCDM) process. Based on previous studies, there has been no comprehensive study conducted on the evaluation of the financial performance of construction companies by integrating entropy and fuzzy VIKOR models. Therefore, this paper aims to propose an MCDM model to evaluate and compare the financial performance of construction companies with an integrated entropy–fuzzy VIKOR model. A case study is carried out by evaluating the listed construction companies in Malaysia with the proposed model. The findings of this paper indicate that the company ECONBHD achieves the best financial performance over the study period. The significance of this paper is to determine the priority of the financial ratios and ranking of the construction companies with the proposed entropy–fuzzy VIKOR model.

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Analysis of Priority Scale for Watershed Reforestation Using Trapezoidal Fuzzy VIKOR Method: A Case Study in Semarang, Central Java Indonesia

Cited by 7 publications

References 25 publications

Impediments of product recovery in circular supply chains: Implications for sustainable development

Impediments of product recovery in circular supply chains: Implications for sustainable development

Comparative Analysis of Hybrid Fuzzy MCGDM Methodologies for Optimal Robot Selection Process

Performance Evaluation of Construction Companies Using Integrated Entropy–Fuzzy VIKOR Model

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