An MCDM approach based on some new Pythagorean cubic fuzzy Frank Muirhead mean operators

Kakati, Pankaj

doi:10.1016/j.heliyon.2022.e12249

Cited by 5 publications

(3 citation statements)

References 87 publications

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“…MCDM-AHP is a method that has many assessment criteria [23], [24]. The assessment parameters are seen from a number of criteria that will be used, these criteria as an assessment measuring tool that have different characteristics from the assessment criteria [25], [26]. In general, the criteria used have the same characteristics, that is, the assessment with the highest value is the best, but this is not the case, there are a number of criteria that have the smallest meaning as the best, and some even use both characteristics.…”

Section: Multi-criteria Decision-making Methods Analytic Hierarchy Pr...mentioning

confidence: 99%

MCDM-AHP and PROMETHEE methods integrated for base service strategy vendor evaluation and selection

Akmaludin,

Samudi,

Palasara

et al. 2023

IJAAS

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Business competition is very important in controlling product-savvy customers. Strong basic service techniques will be the main factor that binds vendors as the final destination in the supply chain through the strength of business network processes. This research aims to create a strategic basis for evaluating and selecting vendors through the integration process services of the multi-criteria decision-making method analytic hierarchy process (MCDM-AHP) and preference ranking organization method for enrichment evaluation (PROMETHEE) methods. Empirical studies show how this approach can provide optimal decision support for the vendor evaluation and selection process. Eight different types of criteria are required in its apps and must be realized as a barometer of the strategic basis for selecting vendors so that business processes are of high quality. These criteria include quality of goods, payment methods, payment terms, minimum transactions, discounts, delivery times, inventory, and service. The optimal weight for each criterion will be determined based on its importance to the synthesis process and its feasibility tested using mathematical algebra matrices and expert choice apps. Decision-making was based on the results of ranking evaluation of selected vendors through the development of 342 preference matrices, ten vendors were deemed worthy of acceptance and nine other vendors were rejected.

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Section: Multi-criteria Decision-making Methods Analytic Hierarchy Pr...mentioning

confidence: 99%

MCDM-AHP and PROMETHEE methods integrated for base service strategy vendor evaluation and selection

Akmaludin,

Samudi,

Palasara

et al. 2023

IJAAS

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“…Lately, type-2 fuzzy sets, mediative fuzzy sets, Pythagorean fuzzy sets, and interval-valued intuitionistic fuzzy sets have been favoured to handle non-trivial problems under vague and uncertain environments effectively, thus assisting in realizing accurate and qualitative results. (2) In addition, spherical fuzzy, bipolar, and 2-tuple spherical fuzzy sets have not been combined with MOORA in literature to date that has proved superior to intuitionistic fuzzy sets Pythagorean fuzzy set [ [256] , [257] , [258] , [259] ]. Moreover, fuzzy MOORA can be combined with aggregation operators such as hesitant fuzzy Choquet integral and q-rung ortho-pair aggregation operators to gain novel fuzzy MOORA methods with enhanced robustness.…”

Section: Application Areasmentioning

confidence: 99%

A historical review and analysis on MOORA and its fuzzy extensions for different applications

Singh,

Pathak,

Kumar

et al. 2024

Heliyon

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“…A practical case study within the Turkish e-waste recycling industry was conducted to validate the efficacy of the proposed methodology. Muthunandhini and Palanivel [21] introduced the Triple Vague framework for both superior and inferior ranking using Multi-Criteria Decision Making (MCDM) techniques. This framework integrates interval fuzzy values, reluctant fuzzy values, and negative interval-valued fuzzy (IV) values to represent various levels of ambiguity.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimizing E-waste management through neutrosophic applications: A comprehensive analysis of factors based on Superiority and Inferiority Ranking (SIR)

Rajadurai,

Kaliyaperumal

2024

Preprint

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This study delves into the intricacies of e-waste management control by introducing a novel approach that leverages neutrosophic numbers. Focusing on crucial factors such as environmental impact, resource recovery, social impact, and economic viability, our research employs a superiority and inferiority ranking method enhanced by neutrosophic numbers. This methodology enables a nuanced and flexible evaluation of electronic products, considering the inherent uncertainties and indeterminacies associated with sustainability metrics. By incorporating neutrosophic numbers into the ranking process, the study aims to provide a more robust framework for assessing and prioritizing e-waste management strategies. The outcomes of this research contribute to advancing the understanding of e-waste management by incorporating the inherent uncertainties within a neutrosophic framework. This approach not only enhances the accuracy of ranking electronic products but also facilitates more adaptive and informed decision-making processes in the pursuit of sustainable e-waste management practices. Additionally, we conduct a comparative analysis by evaluating the performances by utilizing various Multi-Criteria Decision-Making (MCDM) methods. Further the comparative assessment aims to elucidate the strengths and limitations of neutrosophic-based ranking in contrast to other established decision-making approaches.

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An MCDM approach based on some new Pythagorean cubic fuzzy Frank Muirhead mean operators

Cited by 5 publications

References 87 publications

MCDM-AHP and PROMETHEE methods integrated for base service strategy vendor evaluation and selection

MCDM-AHP and PROMETHEE methods integrated for base service strategy vendor evaluation and selection

A historical review and analysis on MOORA and its fuzzy extensions for different applications

Optimizing E-waste management through neutrosophic applications: A comprehensive analysis of factors based on Superiority and Inferiority Ranking (SIR)

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