New Manhattan distance‐based fuzzy MADM method for the network selection

Mansouri, Mouad; Leghris, Cherkaoui

doi:10.1049/iet-com.2018.5454

Cited by 15 publications

(5 citation statements)

References 34 publications

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“…The entropy weight method (EWM) identifies objective information in data through the calculation of entropy (Jiayi et al, 2022), while the FAHP considers decision-making experience to establish judgment matrices (Mansouri, 2019;Ramanayaka, 2019). We combine the advantages of both methods to integrate subjective and objective information.…”

Section: Assignment Of the Endowment Coefficientmentioning

confidence: 99%

Confidence relative off-targets distance-based multi-dimensional transparency evaluation of distribution station area

Ren,

Li,

et al. 2024

Front. Energy Res.

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With the large-scale integration of distributed renewable energy into low-voltage distribution station areas, rapidly growing services put forward new requirements on transparent monitoring. In order to accurately and objectively quantify the transparency of various distribution station areas and measure the impact of different dimensional indexes on the transparency evaluation of distribution station areas, this paper proposes a confidence relative off-target distance-based multi-dimensional transparency evaluation method. First, a multi-dimensional transparency evaluation index system with electrical and communication integration is constructed. Second, an improved gray target model combining both positive and negative target vectors is established to realize bi-directional quantitative analysis. Then, the relative off-target distance is calculated based on the endowment coefficient by leveraging both subjective and objective weights. Finally, the confidence of the relative off-target distance is calculated based on fuzzy entropy to improve the reliability of transparency evaluation. The simulation results show that this method can effectively distinguish the transparency gap between different distribution station areas, identify the single dimensional index with the greatest contribution or potential, and verify the effectiveness of the proposed method applied to the transparency evaluation of distribution station areas.

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Section: Assignment Of the Endowment Coefficientmentioning

confidence: 99%

Confidence relative off-targets distance-based multi-dimensional transparency evaluation of distribution station area

Ren,

Li,

et al. 2024

Front. Energy Res.

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“…Commonly used distance metrics include absolute distance and Euclidean distance. Absolute distance is also known as Manhattan distance [31][32] and is defined as follows:…”

Section: Measurement Of Distancementioning

confidence: 99%

Vocational Education and Industry Integration and Symbiosis of Subjects and Digital Drivers

Guo

2023

Applied Mathematics and Nonlinear Sciences

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Under the new round of scientific and technological revolution and industrial change, the integration of vocational education and industry is an important direction of educational development. In this paper, the structure of the learning path network of higher vocational professional courses is analyzed, and through the analysis of the elements of learning behaviors, the learning behaviors are mined by adopting sequence relations, and the behavioral structure model is established. The assessment of the learning path under the integration of industry and education courses was finished using uncertainty association coefficients and time association coefficients. After building the learning path network for vocational education, the subjective characteristics of students under vocational education were detected using isolated point analysis. The detection results show that the correlation coefficient between the first pair of typical variables is 0.488. The Wilks statistical test results for typical correlation coefficients show that the p-value of the first typical correlation coefficient is 0.098, which is less than 10%. The correlation study of the environment of integration of education and industry and the effect of integration can be simplified to study only the relationship between the first pair of typical variables. By analyzing the main characteristics, the main body for vocational education and industry integration is clarified, which creates a digital-driven impetus for the integration of industry and education.

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“…It is a geometrical term used in geometric metric spaces to indicate the absolute wheelbase sum of two points in standard coordinates. Inspired by the extension of the Manhattan distance (Mansouri & Leghris, 2019) in the fuzzy environment We develop the Manhattan distance under PHFSs:…”

Section: The Euclidean and Taxicab Distance For Normalized Phfesmentioning

confidence: 99%

CODAS METHOD WITH PROBABILISTIC HESITANT FUZZY INFORMATION AND ITS APPLICATION TO ENVIRONMENTALLY & ECONOMICALLY BALANCED SUPPLIER SELECTION

Liao

Wei

et al. 2022

Technological and Economic Development of Economy

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With the rise of the concept of environmental protection and the attention of all sectors of society to the ecological environment, the selection of green suppliers is a hot topic. In this paper, we develop the combinative distance-based assessment (CODAS) method in the probabilistic hesitant fuzzy sets (PHFSs) to cope with the multiple attributes group decision making (MAGDM). A standardized approach that integrates multiple methods is applied to normalize the original data. Moreover, the statistics variance (SV) method is applied under PHFSs to calculate the objective weighting vector of evaluation criteria. In the end, a case for supplier selection and the comparative analysis are used to confirm the feasibility and utility of this new approach.

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New Manhattan distance‐based fuzzy MADM method for the network selection

Cited by 15 publications

References 34 publications

Confidence relative off-targets distance-based multi-dimensional transparency evaluation of distribution station area

Confidence relative off-targets distance-based multi-dimensional transparency evaluation of distribution station area

Vocational Education and Industry Integration and Symbiosis of Subjects and Digital Drivers

CODAS METHOD WITH PROBABILISTIC HESITANT FUZZY INFORMATION AND ITS APPLICATION TO ENVIRONMENTALLY & ECONOMICALLY BALANCED SUPPLIER SELECTION

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