Multi-Experts Gray Analytic Hierarchy Process and Application Research in Feature Vector Weight Calculation

Author(s):  
Xiaoping Li ◽  
Liyan Wang
Author(s):  
Yanhua Liu ◽  
Guolong Chen ◽  
Yiyun Zhang

A method to analyze anonymous emails in digital forensics is presented in this paper. The frequent pattern-growth algorithm is used in the proposed method to analyze an email and obtain the structural email writing pattern of the user. The influence of a user's writing structural pattern on the analysis of an anonymous email varies. The analytic hierarchy process is used to calculate the weight of a user's different writing structural patterns. For a given anonymous email, matching the writing structural pattern and weight calculation can help investigators improve their decision making and determine the author of an anonymous email in forensic work.


2022 ◽  
Vol 355 ◽  
pp. 02026
Author(s):  
Xuanhang Wang ◽  
Zhijian Liang

Relatively independent evaluation parameters are selected from many parameters through pedigree clustering.Learning the analytic hierarchy process (ahp) and entropy weight method can determine the weight, and at the same time to understand the error of the analytic hierarchy process (ahp) and entropy weight method is large, so the combination of the subjective and objective weight obtained by the two methods, using the improved entropy weight-ahp method to determine the weight. The improved weight calculation method has a clear hierarchical structure, which not only considers the influence of subjective and objective factors, but also makes full use of the weight information in the hierarchical structure. Considering the uncertainty of information, gray relation is adopted to deal with the data, so as to make maintenance rules.


2014 ◽  
Vol 513-517 ◽  
pp. 3139-3142
Author(s):  
Hong Xing Zhang ◽  
Yang Liu ◽  
Xue Kui Shi

Medical devices is playing an increasingly important role in the course of people's life, it has a very important significance to strengthen the quality control of medical devices productive process. For the difficult issues of evaluation on quality control of productive process, this paper is based on quantitative analysis, using Analytic Hierarchy Process method to research. Firstly, to construct the indication system hierarchical analysis model, and to describe each indicators ; Then, on the basis of clarifying the advantages of Analytic Hierarchy Process, to set up mathematical model, including constructing judgment matrix and single-level sorting in two steps. Finally, to calculate the weight of indication system according to the solving steps. The research contents of this paper, is the basic work of evaluation for the quality control of medical device productive process, for the safe production of medical devices companies to provide technical and methodological support.


2020 ◽  
Vol 179 ◽  
pp. 02070
Author(s):  
Wang Chunpeng ◽  
Xu Qing

In this digital information age, electronic devices can improve the work efficiency and reduce work load in business, but sedentary and long-time work style undermines the health of white-collar workers in the office. By combining qualitative and quantitative analysis, we aimed to identify the factors affecting health of white-collar workers in the office. Based on user demands, we summarized the design concepts for office furniture, pre-selected functions of the furniture, built a layered function model for healthy office furniture, and performed weight calculation on the criterion layer and the measure layers. The analytic hierarchy process method was used to sequence the functions of healthy office furniture to provide new design ideas and a basis for design of healthy office furniture.


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