Dimensional Analysis under Linguistic Pythagorean Fuzzy Set

Silva, Aldo Joel Villa; Pérez-Domínguez, Luis; Gómez, Erwin Martínez; Luviano-Cruz, David; Valles-Rosales, Delia J.

doi:10.3390/sym13030440

Cited by 7 publications

(2 citation statements)

References 63 publications

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“…The information representation under LPFS has been extensively explored in MAGDM methods (Ding & Liu, 2019; Liu et al, 2019; Villa Silva et al, 2021). In addition, it is also combined with a variety of classical tools to solve practical decision‐making problems, including TOPSIS (Gül & Aydoğdu, 2022; Sarkar & Biswas, 2021), TODIM (Deng & Gao, 2019), CODAS (He et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Multi‐attribute group decision‐making based on linguistic Pythagorean fuzzy copula extended power average operator

Kou

Wang

et al. 2023

Expert Systems

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This paper aims to propose a novel multi‐attribute group decision‐making (MAGDM) method based on linguistic Pythagorean fuzzy copula extended power average operator. Existing researches under linguistic Pythagorean fuzzy environment lack of the ability to handle with extreme values and the flexible operational rules. To fill these two gaps, this paper first provides the definition of Archimedean copula and co‐copula operational rules under linguistic Pythagorean fuzzy environment, which can reflect the connection among arguments and provide more choices for experts to express their preferences. Then, we gather the extended power average (EPA) operator to present some new aggregation operators, which can reduce the negative influence of extreme evaluation values. To show the application of the proposed method to MAGDM problems, we apply it to handle a case of takeout O2O platform assessment problem. The numerical case and comparative analysis with other existing methods illustrate that our proposed method is more scientific and flexible.

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Section: Introductionmentioning

confidence: 99%

Multi‐attribute group decision‐making based on linguistic Pythagorean fuzzy copula extended power average operator

Kou

Wang

et al. 2023

Expert Systems

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“…Ma [32] elucidated successfully the transient thermal properties. Silva et al [33] established a relationship among linguistic variables. Recently, He and Liu [34] pointed out a possible link between the fractal dimensions and the exponents involved in the dimensionless analysis, pushing the dimensionless analysis to the research frontiers in various fields, e.g., mathematics, physics, mechanical engineering and material science.…”

Section: Introductionmentioning

confidence: 99%

Fractal Space Based Dimensionless Analysis of the Surface Settlement Induced by the Shield Tunneling

Mei,

Tian,

et al. 2023

FU Mech Eng

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The surface settlement during the tunneling process is becoming increasingly difficult to forecast as its surroundings become more and more erratic, and the maximal surface settlement raises risks posed suddenly by various uncertain factors. This paper proposes a novel approach to prediction of the surface settlement and analyzes the stability of tunnel construction. The dimensionless analysis and Buckingham’s π-theorem are adopted for this purpose, and some useful dimensionless quantities are found, which can be used to determine the surface settlement’s main properties. In this manner, the paper offers new ways of predicting surface settlement in various cases, and it sheds a new light on the tunnel’s design and safety monitoring.

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Intelligent analysis of the quality of education through teaching practices on virtual campuses

Álvarez-Blanco

Castro-López²,

Cervero³

2022

Eur J Psychol Educ

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ICTs have been increasingly involved in teaching–learning processes due to the potential offered by the tools as well as to the set of demands derived from the political and health situations of the social environment. In this sense, the introduction of virtual campuses as complex systems that centralize the entire technological component that complements traditional teaching processes has meant a change of paradigm with repercussions at the teaching and pedagogical level. In this context, the purpose of this study aims to analyze students’ perception of the use of virtual campus and how to enhance the quality of the educational process using intelligent systems. For this purpose, 318 students that use virtual campus have been surveyed. The results show that there are three variables that predominantly influence the quality of teaching–learning processes using virtual campuses: frequent contact with teachers through the platform, the digital competence of the student, and the adaptation of training content to the students’ prior knowledge. This information can be useful, as it allows them to establish guidelines to guide the practices of their teaching teams in technological environments, guaranteeing the suitability of the teaching–learning process and improving the evaluation processes and the assessment of their own educational work.

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Dimensional Analysis under Linguistic Pythagorean Fuzzy Set

Cited by 7 publications

References 63 publications

Multi‐attribute group decision‐making based on linguistic Pythagorean fuzzy copula extended power average operator

Multi‐attribute group decision‐making based on linguistic Pythagorean fuzzy copula extended power average operator

Fractal Space Based Dimensionless Analysis of the Surface Settlement Induced by the Shield Tunneling

Intelligent analysis of the quality of education through teaching practices on virtual campuses

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