Applications of generalized rough set theory in evaluation index system of radar anti-jamming performance

With the rising of the supply chain in all areas, trust issues become more and more concern. An applied-information technology with trust risk evaluation method is presented. Trust risk rating index system is built after analyzing trust risks in the supply chain. The key indexes of trust risk indexes are selected based on rough set theory, and a simplified trust risk evaluation index system is constituted. The weight of each index is calculated by rough set theory. Supply chain trust risk is assessed based on the determined index system, index weight and advantages of the uncertain multiple attribute decision making methods, which provide the basis for trust of supply chain risk prevention.

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Determination of Evaluation Indicators Weight for Comprehensive System Based on Rough Set Theory

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.765-767.3230 ◽

2013 ◽

Vol 765-767 ◽

pp. 3230-3235

Author(s):

Zheng Li Liang ◽

Xiao Wan Yang

Keyword(s):

Set Theory ◽

Rough Set ◽

Index System ◽

Rough Set Theory ◽

Comprehensive Evaluation ◽

Evaluation Index ◽

Comprehensive System

In reality, artificial factors are stronger in evaluating the comprehensive system during either the establishment of index system or the determination of the evaluation weight. In the paper it is discussed that rough set theory is applied to determine weight of comprehensive evaluation index, try to mine information from the data and to overcome the subjectivity of the weight setting in evaluating. We analyze a case using the designed program.

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Identify and Assess Hydropower Project’s Multidimensional Social Impacts with Rough Set and Projection Pursuit Model

Complexity ◽

10.1155/2020/9394639 ◽

2020 ◽

Vol 2020 ◽

pp. 1-16

Author(s):

Hui An ◽

Wenjing Yang ◽

Jin Huang ◽

Ai Huang ◽

Zhongchi Wan ◽

...

Keyword(s):

Rough Set ◽

Index System ◽

Social Impact ◽

Projection Pursuit ◽

Cultural Development ◽

Evaluation Index System ◽

Assessment Model ◽

Evaluation Index ◽

The Social ◽

Projection Pursuit Model

To realize the coordinated and sustainable development of hydropower projects and regional society, comprehensively evaluating hydropower projects’ influence is critical. Usually, hydropower project development has an impact on environmental geology and social and regional cultural development. Based on comprehensive consideration of complicated geological conditions, fragile ecological environment, resettlement of reservoir area, and other factors of future hydropower development in each country, we have constructed a comprehensive evaluation index system of hydropower projects, including 4 first-level indicators of social economy, environment, safety, and fairness, which contain 26 second-level indicators. To solve the problem that existing models cannot evaluate dynamic nonlinear optimization, a projection pursuit model is constructed by using rough set reduction theory to simplify the index. Then, an accelerated genetic algorithm based on real number coding is used to solve the model and empirical study is carried out with the Y hydropower station as a sample. The evaluation results show that the evaluation index system and assessment model constructed in our paper effectively reduce the subjectivity of index weight. Applying our model to the social impact assessment (SIA) of related international hydropower projects can not only comprehensively analyze the social impact of hydropower projects but also identify important social influencing factors and effectively analyze the social impact level of each dimension. Furthermore, SIA assessment can be conducive to project decision-making, avoiding social risks and social stability.

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

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.1049-1050.1403 ◽

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.

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The algebraic structures of generalized rough set theory

Information Sciences ◽

10.1016/j.ins.2008.06.021 ◽

2008 ◽

Vol 178 (21) ◽

pp. 4105-4113 ◽

Cited By ~ 154

Author(s):

Guilong Liu ◽

William Zhu

Keyword(s):

Set Theory ◽

Rough Set ◽

Rough Set Theory ◽

Algebraic Structures ◽

Generalized Rough Set

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Idealization of j-approximation spaces

Filomat ◽

10.2298/fil2002287h ◽

2020 ◽

Vol 34 (2) ◽

pp. 287-301

Author(s):

Mona Hosny

Keyword(s):

Set Theory ◽

Rough Set ◽

Rough Set Theory ◽

Current Work ◽

Core Concept ◽

Approximation Spaces ◽

Lower Approximation ◽

Upper Approximation ◽

Generalized Rough Set ◽

The Ideal

The current work concentrates on generating different topologies by using the concept of the ideal. These topologies are used to make more thorough studies on generalized rough set theory. The rough set theory was first proposed by Pawlak in 1982. Its core concept is upper and lower approximations. The principal goal of the rough set theory is reducing the vagueness of a concept to uncertainty areas at their borders by increasing the lower approximation and decreasing the upper approximation. For the mentioned goal, different methods based on ideals are proposed to achieve this aim. These methods are more accurate than the previous methods. Hence it is very interesting in rough set context for removing the vagueness (uncertainty).

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

E3S Web of Conferences ◽

10.1051/e3sconf/202129201016 ◽

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.

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