Application of fuzzy preference relations method in AHP to improve judgment matrix consistency

Hamka, Muhammad; Harjono,

doi:10.1088/1757-899x/821/1/012035

Cited by 5 publications

(5 citation statements)

References 10 publications

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“…When determining the weight of each factor at each level, if it is only a qualitative result, it is often not easy to be accepted by others. Therefore, the consistent matrix method [22,23] is used; that is, all factors are not compared together but compared with each other. At this time, the relative scale is adopted to reduce the difficulty of comparing various factors with different properties as much as possible, so as to improve the accuracy.…”

Section: Construct Judgment (Pairwise Comparison) Matrixmentioning

confidence: 99%

Evaluation Method of Economic Growth Quality of Tourism-Driven Real Estate Based on AHP

2022

Wireless Communications and Mobile Computing

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The traditional tourism-driven real estate economic growth quality evaluation model has the problem of low fitting degree and dynamic degree. In order to solve this problem, a tourism-driven real estate economic growth quality evaluation method based on an analytic hierarchy process (AHP) is proposed. In order to reduce the solution scale of tourism-driven real estate economic growth quality evaluation, the analytic hierarchy process is used to calculate the possibility index, severity index, and economic growth quality index of tourism-driven real estate economic growth and screen and rank the economic growth quality. The discrete zoning model is used to determine the economic growth level of tourism-driven real estate. Using the Mahalanobis distance of multiattribute vector of economic growth quality evaluation index, the distance from the risk element to positive ideal solution and negative ideal solution is defined. By calculating the closeness of data economic growth quality element, this paper constructs a tourism-driven real estate economic growth quality evaluation model. The experimental results show that the model has high dynamics and reliability and greatly improves the joint evaluation effect of tourism-driven real estate economic growth quality.

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Section: Construct Judgment (Pairwise Comparison) Matrixmentioning

confidence: 99%

Evaluation Method of Economic Growth Quality of Tourism-Driven Real Estate Based on AHP

2022

Wireless Communications and Mobile Computing

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“…Then, based on the standardization of index data, the index data is weighted standardized, and further processing [25] obtains…”

Section: Implementation Of Modeling Factors Influencingmentioning

confidence: 99%

Modeling and Analysis of Influencing Factors of Competitive Performance of Wushu Athletes

2022

Wireless Communications and Mobile Computing

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In view of the problems that there are many influencing factors in wushu athletes’ competitive performance, which lead to low accuracy of index evaluation and large error of weight calculation, this paper puts forward the modeling and analysis of influencing factors of wushu athletes’ competitive performance. Preprocess and segment wushu routine characteristic signals, extract wushu routine characteristics by using fast Fourier transform coefficients, construct the index system of the influence of competitive performance ability, and determine the ideal solution and negative ideal solution of the index weight after standardizing the indexes of influencing factors. The index weight of the influencing factors of wushu athletes’ competitive performance is determined by calculating the pasting progress, and the evaluation model of the influencing factors is constructed with the help of the grey correlation degree method. The experimental results show that the proposed model can effectively determine the key degree of the influencing factors of wushu athletes’ competitive performance and improve the competitive performance of wushu athletes.

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“…Objective weight refers to the weight calculation method of weighting each index through a decision matrix. e combination weighting method is proposed based on the advantages and disadvantages of subjective and objective weight, that is, the combination of subjective and objective weight to make the weight calculation more reasonable [13]. e index judgment matrix of the enterprise management is constructed through the evaluation index according to the results of the questionnaire analysis, as shown in Table 1.…”

Section: E Determination Of Evaluation Weight and Index Judgment Matrixmentioning

confidence: 99%

Evaluation of Enterprise Management Innovation in Manufacturing Industry Using Fuzzy Multicriteria Decision-Making under the Background of Big Data

Yan¹,

De-jiang

2021

Mathematical Problems in Engineering

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The manufacturing industry has always been in the dominant position in the development of China’s national economy. The present industrial structure and development mode of the manufacturing industry are in a critical transformation period. This study aims to explore the problems in the management of manufacturing enterprises in the era of big data. Supplier management is the top priority of manufacturing enterprise management. Regarding the performance appraisal of manufacturing enterprises, the management data of large manufacturing enterprises are collected by questionnaire. 226 questionnaires are issued, and 203 valid questionnaires are collected. The performance appraisal management of manufacturing enterprises is analyzed based on the analytic hierarchy process (AHP) of fuzzy multicriteria decision-making, and the evaluation system of enterprise performance management is established. The results show that the average value of the four indexes of enterprise marketing management, enterprise research and development (R&D) support, enterprise R&D achievement transformation efficiency, and enterprise production innovation is higher than 3.731, indicating that large manufacturing enterprises quite support marketing, R&D, and production innovation. This exploration can provide a theoretical basis for improving the management innovation ability of manufacturing enterprises and also has great reference value for expanding the market competitiveness of manufacturing enterprises.

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Application of fuzzy preference relations method in AHP to improve judgment matrix consistency

Cited by 5 publications

References 10 publications

Evaluation Method of Economic Growth Quality of Tourism-Driven Real Estate Based on AHP

Evaluation Method of Economic Growth Quality of Tourism-Driven Real Estate Based on AHP

Modeling and Analysis of Influencing Factors of Competitive Performance of Wushu Athletes

Evaluation of Enterprise Management Innovation in Manufacturing Industry Using Fuzzy Multicriteria Decision-Making under the Background of Big Data

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