Research on comprehensive evaluation of data link based on G1 method and entropy weight method

Abstract

With the rapid development of mobile Internet technology and the advent of the 21st century Internet and information age, data has become the most important strategic core resources. With the rapid development of ubiquitous power Internet of things construction, there are still many problems in the data link monitoring and data management: the low effectiveness of data transmission affects the normal operation of the data link; there are few data evaluation models, which lead to the problem of one sidedness and subjectivity in the understanding of the operation status of the data link. Aiming at the problem that the current data link cannot directly show the link quality, this position proposes a comprehensive evaluation method for the entire data link based on the order relationship analysis(G1) method and the entropy weight method. First, establish a complete data link indicator system, and then separately Use the order relationship analysis method to determine the subjective weight, use the entropy weight method to determine the objective weight, and finally combine the two to determine the comprehensive weight, and obtain a comprehensive score that reflects both the expert level and experience and the actual situation related data. The data and transmission conditions of each link are shown, and the comprehensiveness, rationality and scientificity of the method are also demonstrated.

Research on performance and dynamic competency evaluation of bid evaluation experts based on weight interval number

“…all those who have sufficient professional knowledge to carry out reasonable evaluation) [43] and combine the importance of the indices with the linguistic value to construct a judgment matrix through linguistic variables [44,45]. In this way, the limitations of individual expert opinions can be avoided and the reliability of the evaluation results can be improved by integrating multiple expert opinions, such as analytic hierarchy process (AHP) [46] and order relationship analysis method(G1) [47,48]. In this paper, IAHP method of reference [49] is used to construct the evaluation model.…”

“…However, there are also some shortcomings in Reference [49]: Firstly, in the process of judging the importance of evaluation indices, the main professional knowledge characteristics (i.e. the hesitation of cognitive limitations and the consistency of different preferences) [50] as expert judgment information reflects the credibility of expert evaluation and affects the final evaluation results, while Reference [48] only considers the evaluation consistency to calculate the expert coefficient. Secondly, it is also unreasonable to eliminate expert coefficient in the calculation method of index score interval number constructed in Reference [49], because the size of expert coefficient represents the credibility of judgment results.…”

BIM-Based Green Hospital Building Performance Pre-Evaluation: A Case Study

“…The index weight is related to the result accuracy. In order to minimize the error of a single method, this study adopted the G1 method [36,37] and the Entropy Weight Method [38][39][40] to assign index weight by linear weighting. By the G1 Method, experts ranked indicators according to their importance and then calculated the subjective weight by quantifying the importance between indicators.…”

Comprehensive Framework of Major Power Project Management Based on System Thinking

“…Some commonly used weight determination methods were involved in the above-given studies, such as AHP, Delphi, and DEA methods. Compared with these weight determination methods, the order relationship analysis method (G1 method) has the following signifcant advantages: (1) the calculation principle is clear and easy to generalize; (2) it is not necessary to construct a judgment matrix and conduct the consistency test; (3) when the number of schemes changes, the weight coefcient of schemes still has strong order preservation; (4) applications do not require a strong mathematical foundation [18].…”