NN-Harmonic Mean Aggregation Operators Based MCGDM Strategy in Neutrosophic Number Environment

Mondal, Kalyan; Pramanik, Surapati; Giri, Bibhas C.; Smarandache, Florentín

doi:10.20944/preprints201711.0124.v1

Cited by 6 publications

(5 citation statements)

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“…Wang et al [51] explored the dual BM aggregation operator for SVNNs further. Harmonic mean AOs for SVNNs were presented by Mondal et al [52]. Ji et al [53] demonstrated the Frank prioritized BM in an SVN environment by their application in third-party logistics selection.…”

Section: Mamps Methodsmentioning

confidence: 99%

Single-valued neutrosophic Einstein interactive aggregation operators with applications for material selection in engineering design: case study of cryogenic storage tank

Farid

Riaz

2022

Complex Intell. Syst.

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Single-valued neutrosophic sets (SVNSs) and their application to material selection in engineering design. Liquid hydrogen is a feasible ingredient for energy storage in a lightweight application due to its high gravimetric power density. Material selection is an essential component in engineering since it meets all of the functional criteria of the object. Materials selection is a time-consuming as well as a critical phase in the design process. Inadequate material(s) selection can have a detrimental impact on a manufacturer’s production, profitability, and credibility. Multi-criteria decision-making (MCDM) is an important tool in the engineering design process that deals with complexities in material selection. However, the existing MCDM techniques often produce conflicting results. To address such problems, an innovative aggregation technique is proposed for material selection in engineering design based on truthness, indeterminacy, and falsity indexes of SVNSs. Taking advantage of SVNSs and smooth approximation with interactive Einstein operations, single-valued neutrosophic Einstein interactive weighted averaging and geometric operators are proposed. Based on proposed AOs, a robust MCDM approach is proposed for material selection in engineering design. A practical application of the proposed MCDM approach for material selection of cryogenic storage containers is developed. Additionally, the authenticity analysis and comparison analysis are designed to discuss the validity and rationality of the optimal decision.

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Section: Mamps Methodsmentioning

confidence: 99%

Single-valued neutrosophic Einstein interactive aggregation operators with applications for material selection in engineering design: case study of cryogenic storage tank

Farid

Riaz

2022

Complex Intell. Syst.

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“…NN consists of a crisp parameter and a value with a literal indeterminacy parameter (I), and can meritoriously explain the restricted confident and restricted indeterminate information as A 5 p þ qI for indeterminacy I ∈ [I À , I þ ] and A, p ∈ R (all real numbers). NN is also applied in various problems (Smarandache, 2015;Ye and Cui, 2018b;Ye, 2018;Mondal et al, 2021). Nevertheless, as far as we know, the model of Jaberi Hafshjani et al (2021) is the only study devoted to the DEA and NN.…”

Section: Neutrosophic Data Envelopment Analysismentioning

confidence: 99%

Evaluation of safety-based performance in construction projects with neutrosophic data envelopment analysis

Alburaikan

Muniz

2022

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PurposeThe main purpose of this paper is to create a suitable structure based on neutrosophic numbers to evaluate the safety performance in construction projects in such a way that the shortcomings can be highlighted with the reasoned measurement and possible strategies can be recommended.Design/methodology/approachData envelopment analysis (DEA), which is a useful tool for performance appraisal, along with neutrosophic logic, which is one of the most complete tools for handling uncertainty phenomenon, has been used to evaluate the safety performance of construction projects. With this hybrid model, a new strategy is considered as an indicator for safety performance and comparisons are made between different units.FindingsA total of 35 Chinese organizations with construction projects lasting between 1.5 and 2 years were selected for comparison. After processing the data into neutrosophic numbers and using the NN-DEA model, it can be found that projects that pay more attention to safety issues such as training and equipment are more efficient.Originality/valueSince in the real world, there are uncertainties with different contradictions, and neutrosophical data can handle many of these challenges, using DEA model with neutrosophic numbers to evaluate the performance of construction projects from a safety perspective, can provide significantly better results. Therefore, considering that no study has been presented in this field so far, the authors will deal with this topic.

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“…Wu, Wang, Peng, and Chen () developed prioritized aggregation operator for SVNNs considering the priorities of corresponding attributes by priority weights. Mondal, Pramanik, Giri, and Smarandache () presented Harmonic mean aggregation operator for SVNNs with the same consideration as in Wu et al Moreover, two or more functions are combined for adopting their advantages. The prioritized aggregation operators and Muirhead mean are combined by Garg and Nancy (a).…”

Section: Introductionmentioning

confidence: 99%

Novel neutrosophic Dombi Bonferroni mean operators with mobile cloud computing industry evaluation

Peng

Smarandache

2019

Expert Systems

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In the age of mobile cloud computing, we are confronted by mobility, diversity of network access types, frequent network disconnection and poor reliability, and security with complex structures. Mobile cloud computing industry decision making is crucially important for countries or societies to enhance the effectiveness and validity of leadership, which can greatly expedite industrialized and large‐scale development. In the case of mobile cloud computing industry decision evaluation, the indispensable issue arises serious inexactness, fuzziness, and ambiguity. Single‐valued neutrosophic set, disposing the indeterminacy portrayed by truth membership T, indeterminacy membership I, and falsity membership F, is a more viable and effective means to seize indeterminacy. The main purpose of the current paper is to investigate the novel operations on single‐valued neutrosophic number (SVNN) based on Dombi Bonferroni mean (DBM) and Dombi geometric Bonferroni mean (DGBM) operator, which have the enormous advantage of high flexibility with adjustable parameters. Moreover, we employ the DBM operator to present single‐valued neutrosophic DBM (SVNDBM) operator, single‐valued neutrosophic weighted DBM (SVNWDBM) operator, single‐valued neutrosophic DGBM (SVNDGBM), operator and single‐valued neutrosophic weighted DGBM (SVNWDGBM) operator for disposing with the aggregation of SVNNs and develop two multiple attribute decision making methods based on SVNWDBM and SVNWDGBM. The validity of algorithms are illustrated by a mobile cloud computing industry decision making issue, along with the sensitivity analysis of diverse parameters on the ranking. Finally, a comparison of the developed with the existing single‐valued neutrosophic decision making methods has been executed for displaying their effectiveness.

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NN-Harmonic Mean Aggregation Operators Based MCGDM Strategy in Neutrosophic Number Environment

Cited by 6 publications

References 0 publications

Single-valued neutrosophic Einstein interactive aggregation operators with applications for material selection in engineering design: case study of cryogenic storage tank

Single-valued neutrosophic Einstein interactive aggregation operators with applications for material selection in engineering design: case study of cryogenic storage tank

Evaluation of safety-based performance in construction projects with neutrosophic data envelopment analysis

Novel neutrosophic Dombi Bonferroni mean operators with mobile cloud computing industry evaluation

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