A Model Study Based on Social Network Relational Dimensions and Structural Dimensions

Yu, Jiangman

doi:10.2478/amns.2020.2.00005

Cited by 3 publications

(3 citation statements)

References 27 publications

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“…Generalized trapezoidal numbers reduce the computational cost for a transportation problem using GITrFNs, as proposed by Ebrahimnejad [12]. Mathematical modeling and solutions to the models are important and their importance can be seen in management, social, and engineering applications [13][14][15][16][17][18][19][20][21]. Rashid, Beg, and Husnine [22] proposed an extended technique for order preference by similarity to the ideal solution (TOPSIS), which uses GITrFNs for the selection of robots considering both objective and subjective criteria but lacks a weights deriving procedure.…”

Section: Literature Reviewmentioning

confidence: 99%

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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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Section: Literature Reviewmentioning

confidence: 99%

“…the normalized performance rating can be calculated by Equations (14) or (15) depending on the type of criteria. 14) where…”

Section: Step 3 Normalization Processmentioning

confidence: 99%

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

et al. 2021

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“…Considering that a user's view may be affected and changed by others and the user's attitude may change along with the events due to the intervention from human factors, Wang [29] found that the human factors affect the information propagation. Yu [30] built the entire network of venture capital industry on the data of China's venture capital industry. By calculating the group tie density based on network interaction, state heterogeneity, and network centrality-based faults, the impact of group network characteristics on the complementarity effect is analyzed.…”

Section: Introductionmentioning

confidence: 99%

Dynamical Analysis of an SE2IR Information Propagation Model in Social Networks

Zhang

et al. 2021

Discrete Dynamics in Nature and Society

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Due to the inequality of users’ (nodes’) status and the influence of external forces in the progress of the information propagation in a social network, the infected nodes hold different levels of propagation capacity. For this reason, the infected nodes are classified into two categories: the high influential infected nodes and the ordinary influential infected nodes which separately account for 20% and 80% by Pareto’s principle. By borrowing the SEIR epidemic model, this paper proposes an SE2IR information propagation model. Meanwhile, the global asymptotical stabilities of the spread-free equilibrium point and local spread equilibrium point are proved for this model. This paper also puts forward a series of information control strategies including perceived values of users, social reinforcement intensity, and information timeliness in the social network. Through simulation experiments without or with control strategies on a real company e-mail network dataset, this paper verifies the stability and correctness of the model and the feasibility and effectiveness of the control strategies in the information propagation process, presenting that the model is closer to the real process of the information propagation in the social network.

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Research on online advertising attention evaluation decision based on the stability of delay differential equations and Hopf bifurcation analysis

Xie

Wang

et al. 2021

MBE

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A Model Study Based on Social Network Relational Dimensions and Structural Dimensions

Cited by 3 publications

References 27 publications

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

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

Dynamical Analysis of an SE2IR Information Propagation Model in Social Networks

Research on online advertising attention evaluation decision based on the stability of delay differential equations and Hopf bifurcation analysis

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