Evaluation of Liuli Expressway Landscape Quality Based on Rough Set Theory

2012 ◽  
Vol 424-425 ◽  
pp. 43-47
Author(s):  
Shao Fu Tan
Keyword(s):  
Set Theory ◽  
Rough Set ◽  
Rough Set Theory ◽  
Reduction Principle ◽  
Attribute Importance ◽  
Evaluation Indexes ◽  
Index Reduction ◽  
Landscape Quality ◽  
Index Weight ◽  
Quality Indexes

This paper constructed a system of indexes for evaluating Liuli expressway landscape, including 3 aspects of road-region environment landscape resources, aesthetics and ecological, totally 24 evaluation indexes. The rough set theory was introduced and first applied to evaluate expressway landscape quality. For calculating every index weight of Liuli expressway landscape quality accurately, index reduction principle was used to clear the redundancy indexes, and finally remained 15 indexes. Then, the evaluation index weight was determined by the method of attribute importance assignment weight. Finally, landscape quality indexes of the three landscape areas in Liuli expressway were obtained by calculating and analyzing.

Application of Rough Set Theory in the Evaluation of Heavy Metal Pollution

2014 ◽  
Vol 1049-1050 ◽  
pp. 1403-1406
Author(s):  
Hong Feng Ma ◽  
Cong Hua Lan ◽  
Xu Hua Miao
Keyword(s):  
Heavy Metal ◽  
Set Theory ◽  
Rough Set ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Rough Set Theory ◽  
Objective Evaluation ◽  
Evaluation Index ◽  
Relational Data Model ◽  
Index Weight

Lead, Mercury and Cadmium etc as the main evaluation index of heavy metal pollution established relational data model. The rough set theory is introduced, use the existing algorithm (Combinatorial Completer) to fill the missing value. After data preprocessing, use the DBMAS algorithm proposed in the paper to calculate the important degree of heavy metal pollution factors, in order to provides a more objective evaluation index weight for evaluation of heavy metal pollution.

scholarly journals Research on full cycle evaluation of power grid projects based on rough set-multilevel extension theory

2021 ◽  
Vol 292 ◽  
pp. 01016
Author(s):  
Yuheng Sha ◽  
Jun Yan ◽  
Yanlai Zhang ◽  
Wenlong Li ◽  
Wenqi Li ◽  
...  
Keyword(s):  
Set Theory ◽  
Rough Set ◽  
Rough Set Theory ◽  
Theoretical Foundation ◽  
Power Grid ◽  
Extension Theory ◽  
Evaluation Index System ◽  
New Ideas ◽  
Multi Level ◽  
Index Weight

Project full-cycle evaluation is the process of evaluating the level of project implementation. The evaluation has a clear purpose orientation and involves the entire cycle of the project. This paper proposes a research method for the full-cycle evaluation of power grid projects based on rough set-multi-level extension theory. First, this article combines various aspects of the project to establish a project evaluation index system involving multiple interests such as the environment and society. Then, the index weight is determined based on the rough set theory, and the multi-level extension theory is used to evaluate the project in the whole cycle. This model provides new ideas for the accurate evaluation of various types of projects and lays a theoretical foundation for improving the level of project management.

scholarly journals Evaluation of Rock Quality of Tunnel Wall Rock Based on Rough Set Theory and Unascertained Measurement Theory

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Changfu Huang ◽  
Shuguang Tian ◽  
Qun Li ◽  
Jun Huang
Keyword(s):  
Set Theory ◽  
Rough Set ◽  
Rough Set Theory ◽  
Measurement Theory ◽  
Wall Rock ◽  
Tunnel Wall ◽  
Evaluation Indexes ◽  
Structural Surface ◽  
Unascertained Measurement Theory

A method for classification of the tunnel wall rock is established based on the rough set theory and unascertained measurement theory. The saturated uniaxial compressive strength, rock mass integrity index, structural surface condition, seepage measurement of groundwater, and the angle between the hole axis and main structural surface are selected as the evaluation indexes. The problem of weight coefficients for these evaluation indexes is converted into that of significance estimating on the attributes in the rough set theory. The proposed method is verified by the wall rock data of Yuanyanghui tunnel. The results show that the proposed method has an excellent performance in good agreement with the practical situation of wall rock and is feasible to classify the wall rock. Finally, the proposed method is applied to Xihualing tunnel of Zhu-Yong Expressway. The results are basically the same as those from Delphi-ideal point method, set pair analysis method, and the actual situation, which proves that the rough set theory and unascertained measurement theory are effective for classification of the wall rock.

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