Multi-hierarchical fuzzy judgment and nested dominance relation of rough set theory-based environmental risk evaluation for tailings reservoirs

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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Risk Evaluation of Gas Pipeline Based on Rough Set

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.443.258 ◽

2013 ◽

Vol 443 ◽

pp. 258-262

Author(s):

Hong Yan Gu

Keyword(s):

High Pressure ◽

Set Theory ◽

Rough Set ◽

Natural Environment ◽

Risk Evaluation ◽

Rough Set Theory ◽

Gas Pipeline ◽

Gas Pipelines ◽

Pressure Medium ◽

Pipeline Failure

Gas is a flammable, explosive and high-pressure medium. Gas pipelines are passing through many different geographical conditions of changing natural environment with gas. Therefore, a lot of adverse consequences will be bought by the gas pipeline failure, however not all consequences have a great impact on assessment of the losses. The rough set theory is used to simplify the accident loss. In this paper, the accident loss of gas pipelines of the gas enterprise in one city taken as an example is evaluated and forecasted with the rough set theory, which can bring the scientific foundation for the managers management and decision.

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Degree Dominance Interval Relation-Based RSM in Intuitionistic Fuzzy Decision Systems

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.48-49.357 ◽

2011 ◽

Vol 48-49 ◽

pp. 357-361

Author(s):

Bing Huang

Keyword(s):

Knowledge Representation ◽

Set Theory ◽

Rough Set ◽

Rough Set Theory ◽

Decision Rules ◽

Dominance Relation ◽

Fuzzy Decision ◽

Decision Systems ◽

Intuitionistic Fuzzy ◽

Interval Relation

By introducing a degree dominance relation to dominance interval intuitionistic fuzzy decision systems, we establish a degree dominance interval rough set model (RSM), which is mainly based on replacing the indiscernibility relation in classical rough set theory with the degree dominance interval relation. To simplify knowledge representation and extract some nontrivial simpler degree dominance interval intuitionistic fuzzy decision rules, we propose two attribute reductions of the degree dominance interval intuitionistic fuzzy decision systems that eliminate the redundant condition attributes that are not essential from the viewpoint of degree dominance interval intuitionistic fuzzy decision rules.

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