Analysis and selection of optimum material to improvise braking system in automobiles using integrated Fuzzy-COPRAS methodology

Shaikh, Abrar; Singh, Aman; Ghose, Dipanjan; Shabbiruddin,

doi:10.1080/17509653.2020.1772895

Cited by 18 publications

(10 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Kumari and Mishra [54] selected green suppliers based on sustainable criteria, under an intuitionistic fuzzy context by extending the COPRAS approach. Shaikh et al [55] presented fuzzy COPRAS in selecting suitable materials for enhancing braking systems in the automotive sector. Krishankumar et al [56] selected green suppliers for the purchase of raw materials by considering sustainable criteria and an integrated model with double hierarchy information and the COPRAS method.…”

Section: Copras Methodsmentioning

confidence: 99%

A New Approach to the Viable Ranking of Zero-Carbon Construction Materials with Generalized Fuzzy Information

Krishankumar

Mishra²,

Cavallaro³

et al. 2022

Sustainability

View full text Add to dashboard Cite

This paper aims to put forward an integrated decision approach, with generalized fuzzy information for the viable selection of zero- and low-carbon materials for construction. In countries such as India, the construction sector accounts for high pollution levels and high carbon emissions. To restore sustainability and eco-friendliness, the adoption of low-carbon materials for construction is essential and, owing to the multiple attributes associated with the selection, the problem is viewed as a multi-criteria decision-making problem. Earlier studies on material selection have faced certain issues, such as the following: (i) the modeling of uncertainty is an ordeal task; (ii) the flexibility given to experts during preference elicitation is lacking; (iii) the interactions among the criteria are not well captured; and (iv) a consideration of the criteria type is crucial for ranking. To alleviate these issues, the primary objective of this paper was to develop an integrated framework, with decision approaches for material selection in the construction sector that promote sustainability. To this end, generalized fuzzy information (GFI) was adopted as the preference style as it is both flexible and has the ability to model uncertainty from the following three dimensions: membership, non-membership, and hesitancy grades. Furthermore, the CRITIC approach was extended to the GFI context for calculating criteria weights objectively, by effectively capturing criteria interactions. Furthermore, the COPRAS technique was put forward with the GFI rating for ranking zero- and low-carbon construction materials, based on diverse attributes. The usefulness of the framework was demonstrated via a case example from India and the results showed that the design cost, the financial risk, safety, water pollution, and land contamination were the top five criteria, with blended cement, mud bricks, and bamboo as the top three material alternatives for zero- and low-carbon construction. Finally, a sensitivity analysis and a comparison with other methods revealed the theoretical positives of this framework’s robustness and consistency–but it also revealed some limitations of the proposed framework.

show abstract

Section: Copras Methodsmentioning

confidence: 99%

A New Approach to the Viable Ranking of Zero-Carbon Construction Materials with Generalized Fuzzy Information

Krishankumar

Mishra²,

Cavallaro³

et al. 2022

Sustainability

View full text Add to dashboard Cite

show abstract

“…F-COPRAS techniques help to overcome problems such as more number of pair-wise comparisons, interdependency which exists in other approaches such as analytic hierarchy process and technique for order preference by similarity to ideal solution (Garg et al , 2018). In addition, the calculation steps involved in the COPRAS technique is simple in comparison with other MCDM techniques (Shaikh et al , 2020). Also, the COPRAS technique follows the best-ideal solution (Ghose et al , 2019).…”

Section: Methodology and Case Applicationmentioning

confidence: 99%

Green recovery strategies for the mining industry of India: lessons learned from the COVID-19 pandemic

Marimuthu

Sankaranarayanan

Ali

et al. 2021

JABS

View full text Add to dashboard Cite

Purpose This study aims to find and evaluate the impact of COVID-19 in India’s mining activities. From the literature survey and input from experts, 14 important factors and ten green recovery strategies are identified. These 14 factors and 10 strategies are examined in a real industrial environment. Design/methodology/approach In this research study, fuzzy-complex proportional assessment is used to compare the identified strategies with the selected factors. Based on the outcome, this study identifies the optimum strategy that could assist the mining industry in handling both COVID-19 and sustainability issues. Findings The study’s outcome reveals that a large group of workers, collapse of demand and disruption, and suffered contractual workers are the top three factors that need to be considered regarding COVID-19 and sustainability issues. Effective strategies for eco-innovation practices, an emphasis on health and safety, and environmental awareness, education and training are the three primary strategies to be implemented for the greatest impact. Originality/value This research study is the first of its kind to coordinate both issues of COVID-19 and sustainability. In this regard, this study sheds a timely light on the precautions that need to be taken in tackling COVID-19 and sustainability issues. This study’s outcome will enhance the managerial capability in developing robust and effective strategies for handling difficult situations.

show abstract

“…There are many MCDM methods (Adhami & Ahmad, 2020;Haseli et al, 2020;Shaikh et al, 2020;Srinivasan & Shocker, 1973), among which the LINMAP method proposed by Srinivasan and Shocker (1973) was well-known. The LINMAP method establishes a linear programming problem based on the decision matrices and pairwise comparisons of alternatives.…”

Section: The Linmap Methodsmentioning

confidence: 99%

A Criterion Utility Conversion Technique for Probabilistic Linguistic Multiple Criteria Analysis in Emergency Management

Qin

Liao

Jiang

2021

Technological and Economic Development of Economy

View full text Add to dashboard Cite

In multiple criteria decision making (MCDM), the even swaps method uses the relationships of criteria to make trade-offs but the burdens of experts are heavy; the linear programming technique for multidimensional analysis of preference (LINMAP) method cannot deal with the inter-dependencies among criteria but the cognitive burdens of experts are low. Taking the advantages of both these methods, this study proposes a criterion utility conversion (CUC) technique to solve probabilistic linguistic MCDM problems given that the probabilistic linguistic term set (PLTS) can reflect the psychology of experts when making evaluations. The utility conversion process is first proposed based on the marginal utilities of criteria. Then, the criterion preference ratios of experts are refined from the utility conversion process. Based on the criterion preference ratios and the operations of PLTSs, the adjusted probabilistic linguistic expected values of alternatives are calculated. The consistency and inconsistency indexes of alternatives and criteria are defined to set up the linear programming used to work out the criterion preference ratios. An illustration about the selection of emergency logistics supplier is given to validate the proposed method. The comparative analysis indicates the low cognitive burden, high stability, and strong applicability of the proposed method.

show abstract

Analysis and selection of optimum material to improvise braking system in automobiles using integrated Fuzzy-COPRAS methodology

Cited by 18 publications

References 22 publications

A New Approach to the Viable Ranking of Zero-Carbon Construction Materials with Generalized Fuzzy Information

A New Approach to the Viable Ranking of Zero-Carbon Construction Materials with Generalized Fuzzy Information

Green recovery strategies for the mining industry of India: lessons learned from the COVID-19 pandemic

A Criterion Utility Conversion Technique for Probabilistic Linguistic Multiple Criteria Analysis in Emergency Management

Contact Info

Product

Resources

About