Grey relational model based on AHP weight for evaluating groundwater resources carrying capacity of irrigation district

2011 ◽  
Author(s):  
Hongmei Gu ◽  
Jianxin Xu
Keyword(s):  
Carrying Capacity ◽  
Groundwater Resources ◽  
Irrigation District ◽  
Relational Model ◽  
Model Based ◽  
Grey Relational

Grey Correlation Model Based on Diatom Indices Evaluating Water Quality of Longjiang River

2013 ◽  
Vol 448-453 ◽  
pp. 43-47 ◽  
Author(s):  
Xin Tang ◽  
De Suo Cai ◽  
Wen Ting Yao
Keyword(s):  
Water Quality ◽  
Water Quality Assessment ◽  
Quality Standard ◽  
Relational Model ◽  
Water Quality Standard ◽  
Diatom Index ◽  
Model Based ◽  
Diatom Indices ◽  
Grey Relational

In order to evaluate the water quality of Longjiang river comprehensively, diatoms of 15 sampling sites are collected to establish the Grey Relational Model based on three diatom indexesIPS, IBD and IDG. From the Cluster analysis of sampling sites and the box plot of diatom index, IBD is the best, then the IPS, the diatom index weights on water quality assessment are 0.637 for IBD, 0.2583 for IPS, 0.1074 for IDG respectively. Finally, by comparing the water quality standard level based on Grey Relational Model, it can be known that the water quality of most sampling sites is fine except that site No.1 and No.3 belong to III water quality standard. The result shows that it is more comprehensive and reasonable to use the Grey Relational Model based on diatom index rather than individual diatom index to assess water quality.

Application of TOPSIS Model Based on Vague Set Entropy in the Evaluation of Groundwater Quality

2013 ◽  
Vol 712-715 ◽  
pp. 452-456 ◽  
Author(s):  
Wen Zhong Yu ◽  
De Shan Tang
Keyword(s):  
Groundwater Quality ◽  
Quality Assessment ◽  
Quality Evaluation ◽  
Groundwater Resources ◽  
Sustainable Use ◽  
Evaluation Process ◽  
Irrigation District ◽  
Vague Set ◽  
Groundwater Quality Assessment ◽  
Model Based

Groundwater quality assessment had important guiding significance on sustainable use of groundwater resources. In order to avoid the subjective judgment on the weight of each index, this article used the Vague set entropy theory to determine the weight of each index, combined with the TOPSIS method, it established the TOPSIS groundwater quality evaluation model based on Vague set entroy. Finally, this model was applied to groundwater quality evaluation in Tailan River Irrigation District, the evaluation results matched with the actual situation. The results showed that the evaluation process of this model was reasonable and scientific, it provided a new idea for groundwater quality assessment.

scholarly journals A new grey relational model based on discrete Fourier transform and its application on Chinese marine economic

2018 ◽  
Vol 1 (1) ◽  
pp. 79-100 ◽  
Author(s):  
Xuemei Li ◽  
Ya Zhang ◽  
Kedong Yin
Keyword(s):  
Fourier Transform ◽  
Discrete Fourier Transform ◽  
Relational Model ◽  
Relational Models ◽  
Content Type ◽  
Dynamic Correlation ◽  
Model Based ◽  
Cyclical Fluctuation ◽  
Grey Relational ◽  
Time Sequences

Purpose The traditional grey relational models directly describe the behavioural characteristics of the systems based on the sample point connections. Few grey relational models can measure the dynamic periodic fluctuation rules of the objects, and most of these models do not have affinities, which results in instabilities of the relational results because of sequence translation. The paper aims to discuss these issues. Design/methodology/approach Fourier transform functions are used to fit the system behaviour curves, redefine the area difference between the curves and construct a grey relational model based on discrete Fourier transform (DFTGRA). Findings To verify its validity, feasibility and superiority, DFTGRA is applied to research on the correlation between macroeconomic growth and marine economic growth in China coastal areas. It is proved that DFTGRA has the superior properties of affinity, symmetry, uniqueness, etc., and wide applicability. Originality/value DFTGRA can not only be applied to equidistant and equal time sequences but also be adopted for non-equidistant and unequal time sequences. DFTGRA can measure both the global relational degree and the dynamic correlation of the variable cyclical fluctuation between sequences.

Surface Image Edge Detection Algorithm Based on Grey Relational Analysis

2012 ◽  
Vol 461 ◽  
pp. 343-346 ◽  
Author(s):  
Gang Li ◽  
Ying Fang ◽  
Ya La Tong
Keyword(s):  
Edge Detection ◽  
Good Method ◽  
Detection Algorithm ◽  
Relational Model ◽  
Small Data ◽  
The Road ◽  
Image Edge Detection ◽  
Surface Image ◽  
Image Edge ◽  
Grey Relational

Automatic detection of pavement cracks is one of the very hot topics. For the characteristics of “small data, poor information” in the surface image processing, we construct ed a grey image relational model to characterize the local image edge feature, by selecting the appropriate threshold to extract the edge of appropriate level. Finally, simulation experiments show that the new algorithm can effectively improve the road edge detection results, and it is an effective good method worthy further study.

scholarly journals Multidimensional Space Structure for Adaptable Data Model

2019 ◽  
Vol 8 (3) ◽  
pp. 7753-7758
Keyword(s):  
Data Model ◽  
Cartesian Product ◽  
Data Representation ◽  
Space Structure ◽  
Automated System ◽  
Relational Model ◽  
Multidimensional Data ◽  
Multidimensional Space ◽  
Model Based ◽  
Five Axes

The article presents an adaptable data model based on multidimensional space. The main difference between a multidimensional data representation and a table representation used in relational Database Management Systems (DBMSs) is that it is possible to add new elements to sets defining the axes of multidimensional space at any time. This changes the data model. The tabular representation of the relational model does not allow you to change the model itself during the operation of an automated system. Three levels of multidimensional data presentation space are considered. There are axis of multidimensional space, the Cartesian product of the sets of axis values and the values of space points. The five axes of multidimensional space defined in the article (entities, attributes, identifiers, time, modifiers) are basic for the design of an adaptable automated system. It is shown that it is possible to use additional axes for greater granularity of the stored data. The multidimensional space structure defined in the article for an adaptable data model is a flexible set for storing a relational domain model. Two types of operations in multidimensional information space are defined. Relations of the relational model are formed dynamically depending on the conditions imposed on the coordinates of the points. Thus, an adaptable data representation model based on multidimensional space can be used to create flexible dynamic automated information systems.

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