Analysis of Knowledge Flow and Thematic Evolution  in Analytic Hierarchy Process

YU De-jian; XU Ze-shui; YAN Zhao-ping

doi:10.14071/j.1008-8105(2021)-1054

Journal of University of Electronic Science and Technology of China(SOCIAL SCIENCES EDITION) > 2021 > 23(4): 75-82. > DOI: 10.14071/j.1008-8105(2021)-1054

YU De-jian, XU Ze-shui, YAN Zhao-ping. Analysis of Knowledge Flow and Thematic Evolution in Analytic Hierarchy Process[J]. Journal of University of Electronic Science and Technology of China(SOCIAL SCIENCES EDITION), 2021, 23(4): 75-82. DOI: 10.14071/j.1008-8105(2021)-1054

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Analysis of Knowledge Flow and Thematic Evolution in Analytic Hierarchy Process

1.
Nanjing Audit University　Nanjing　211815　China
2.
Sichuan University　Chengdu　610064　China

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Received Date: May 19, 2021
Available Online: May 23, 2021

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Abstract

Abstract

[Purpose/Significance] Since the 1970s, the analytic hierarchy process (AHP) has been continuously improved and developed and has become an effective method to solve multi-objective decision-making problems. It has been widely used in many fields such as economic management and engineering technology. Due to the rapid development of this method and the accumulation of a large number of literature, it is necessary to use bibliometric methods to sort out and analyze the development of AHP. [Design/Methodology] Based on this background, this article uses main path and knowledge graph to analyze the main research content and important topics presented in 593 literatures published in domestic core journals. [Conclusions/Findings] The field has experienced three stages of development from 1980 to 2020: the embryonic period, the growth period and the development period. The consistency, scale and weight of the judgment matrix are the main research contents of the AHP field. For the three research stages, the main research topics include the consistency of judgment matrix, weight, fuzzy AHP and interval AHPs, among which the subjects of fuzzy AHP and interval AHP are in vigorous development. The research results are of great significance for clarifying the knowledge development process of AHP and the dynamic evolution of research topics and promoting the further development of AHP.
- analytic hierarchy process,
- main path analysis,
- knowledge graph,
- judgment matrix consistency,
- scale,
- weight

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