Mi JS, Leung Y, Wu WZ (2005) An uncertainty measure in partition-based fuzzy rough sets. Int J Gen Syst 34(1):77–90Mi J-S, Leung Y, Wu W-Z (2005) An uncertainty measure in partition-based fuzzy rough sets. Int
A Rough Fuzzy Set is defined as a set that combines fuzzy logic with rough set theory to handle uncertainty in information by capturing vagueness and indiscernibility through lower and upper approximations. AI generated definition based on: Recent Trends in Computational Intelligence Enabled Research, ...
Especially, to the best of our knowledge, there are not any reports of the use of (interval) type-2 fuzzy sets in the context of some emerging data models. In addition to subjective uncertainty represented by fuzzy sets, uncertainty in real applications may contain objective uncertainty also, ...
8. Measuring uncertainty by extracting fuzzy rules using rough sets and extracting fuzzy rules under uncertainty and measuring definability using rough sets [R] . Worm, Jeffrey A., Culas, Donald E. 1991 机译:通过粗糙集提取模糊规则并在不确定条件下提取模糊规则并使用粗糙集测量可定义性来测量不...
Abstract With the increasing complexity of hotel selection, traditional decision-making models often struggle to account for uncertainty and interrelated criteria. Multi-criteria decision-making (MCDM) techniques, particularly those based on fuzzy logic, provide a robust framework for handling such challenge...
The potential versatility of the proposed methodology in this work can be anticipated in artificial intelligence, including enhancing an intelligent decision support framework and developing an expert decision-making tool under indeterminacy and complex uncertainty. For this purpose, the current study ...
It is significant to evaluate the air quality scientifically for the management of air pollution. As an air quality comprehensive evaluation problem, its uncertainty can be effectively addressed by the Dempster–Shafer (D–S) evidence theory. However, th
In the DPC algorithm, the determination of cluster centers requires human selection, which leads to an increase in the uncertainty of clustering, especially in the case where the human eye cannot accurately select the cluster center in some cases. The choice of centers becomes very difficult. By...
rule does not offer such a definite decision, and due to uncertainty and inconsis- tency we are forced to, or happy to, make an indecision or a delayed decision, which warrants a further investigation [13]. This alternative interpretation, based on three-way decision, seems to be mor...
Further studies are needed to determine the thresholds for these indicators, the introduction of deep learning and artificial intelligence algorithms could overcome the uncertainty and non-linearity and improve the cleaning performance. View article Journal 2023, Biosystems EngineeringZhenwei Liang, Million ...