Application of MARCOS Method for Selecting the Best Schema of Scissors Mechanism

Huy, Trieu Quy; Liem, Nguyen Ba; Hau, Tran Quang; Cuong, Dang Quoc; Danh, Tran Huu; Nga, Nguyễn Thị Thanh; Pi, Vu Ngoc; Thieu, Nguyen Ngoc

doi:10.1007/978-3-031-22200-9_25

Cited by 2 publications

(2 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…MEREC is most widely used in the following applications in engineering: selection of a phase change material [134], selecting truck mixer concrete pump [135], determining the parameters for external cylindrical grinding [136], determining dressing parameters for internal cylindrical grinding [137], dressing process for internal grinding [138], determining input parameters for CBN grinding [139], material selection of a lightweight aircraft wing spar [140], pallet truck selection [141], selecting optimal spray-painting robot [23], milling process [142], selection quality hole by ultrasonic machining process [143], prioritizing solid-state drivers [144], determining the best experiment for turning process [145], plasma arc cutting process optimization [146], selecting the schema of scissors mechanism [147], determining the process input parameters in wire-electrical discharge machining [148], powder-mixed electric discharge machining [149][150][151], cubic boron nitride grinding [152], and hole turning process [8]. Uses other than applications in these areas are as follows: food waste treatment technology selection [153], urban planning and development, specifically in the context of sustainable smart city development [154], urban transport planning and DM, with a focus on adapting transport plans to the COVID-19 pandemic [155], web and IoT-based hospital location determination [156].…”

Section: Application Areasmentioning

confidence: 99%

“…An examination of ranking methods used in conjunction with MEREC reveals the widespread utilization of TOPSIS and MARCOS methods. The studies in which these methods have been applied are as follows: TOPSIS [8,34,126,134,136,138,145,148,149,151,152,156], fermatean fuzzy TOPSIS [154], MARCOS [34,122,132,136,138,144,145,147,149,151], DNMAR-COS (double normalized MARCOS) [135], type-2 neutrosophic number MARCOS [127], single-valued neutrosophic sets MARCOS [140]. Additional employed ranking methods include MAIRCA [8,34,138,145,149,151,152], MABAC [8,23,34,136,137,143,150], CO-COSO [8,23,34,143], GREY-COCOSO [121], cumulative prospect theory COCOSO [130]...…”

Section: Hybrid Studiesmentioning

confidence: 99%

See 1 more Smart Citation

A Comprehensive Review of the Novel Weighting Methods for Multi-Criteria Decision-Making

2023

View full text Add to dashboard Cite

In the realm of multi-criteria decision-making (MCDM) problems, the selection of a weighting method holds a critical role. Researchers from diverse fields have consistently employed MCDM techniques, utilizing both traditional and novel methods to enhance the discipline. Acknowledging the significance of staying abreast of such methodological developments, this study endeavors to contribute to the field through a comprehensive review of several novel weighting-based methods: CILOS, IDOCRIW, FUCOM, LBWA, SAPEVO-M, and MEREC. Each method is scrutinized in terms of its characteristics and steps while also drawing upon publications extracted from the Web of Science (WoS) and Scopus databases. Through bibliometric and content analyses, this study delves into the trend, research components (sources, authors, countries, and affiliations), application areas, fuzzy implementations, hybrid studies (use of other weighting and/or ranking methods), and application tools for these methods. The findings of this review offer an insightful portrayal of the applications of each novel weighting method, thereby contributing valuable knowledge for researchers and practitioners within the field of MCDM.

show abstract

Section: Application Areasmentioning

confidence: 99%

Section: Hybrid Studiesmentioning

confidence: 99%

A Comprehensive Review of the Novel Weighting Methods for Multi-Criteria Decision-Making

2023

View full text Add to dashboard Cite

show abstract

Development of Ranking for Sustainable Forest Management Criteria in Peninsular Malaysia by using the Method based on the Removal Effects of Criteria

Azman,

Zaibidi,

Nawawi

2023

Preprint

View full text Add to dashboard Cite

Peninsular Malaysia has approximately 13.22 million acres of land, with approximately 5.69 million acres forested throughout the state. The forests of peninsular Malaysia will also produce millions of cubic metres of logs, sawn timber, plywood, veneer, and moulding by 2021. Because the forest produces so many resources, it also causes a slew of issues, such as illegal logging and flash floods. SFM takes a holistic approach to ensuring that forest operations provide social, environmental, and economic benefits, that competing needs are balanced, and that forest functioning is preserved and improved today and in the future. The goal of this research is to rank the criteria for three critical dimensions: environmental, economic, and social, that will affect the level of sustainability of forest management in Peninsular Malaysia. This study employs the Method Based on the Removal Effects of Criteria (MEREC) to identify the objective weight and rank all the criteria. The result shows that there are three criteria that have a big impact on all dimensions and another three criteria may not be included since they have no impact on the respective dimensions. With all conclusions, it shows that MEREC is a consistent and reliable method to be considered.

show abstract

Application of MARCOS Method for Selecting the Best Schema of Scissors Mechanism

Cited by 2 publications

References 13 publications

A Comprehensive Review of the Novel Weighting Methods for Multi-Criteria Decision-Making

A Comprehensive Review of the Novel Weighting Methods for Multi-Criteria Decision-Making

Development of Ranking for Sustainable Forest Management Criteria in Peninsular Malaysia by using the Method based on the Removal Effects of Criteria

Contact Info

Product

Resources

About