Basic properties of fuzzy rough sets are investigated. In particular, we define three classes of fuzzy rough sets, relatively to three main classes of implicators well known in the literature, and analyse their
E. A comparative study of fuzzy rough sets. Fuzzy Sets Syst. 126(2), 137–155 (2002). Article MathSciNet MATH Google Scholar Sun, B., Ma, W., Chen, X. & Zhang, X. Multigranulation vague rough set over two universes and its application to group decision making. Soft. Comput. 23...
Radzikowska, A.M., Kerre, E.E.: A comparative study of fuzzy rough sets. Fuzzy Sets Syst.126, 137–155 (2002) ArticleMathSciNetMATHGoogle Scholar Boln-Canedo, V., Snchez-Maroo, N., Alonso-Betanzos, A.: Feature Selection for High-Dimensional Data. Springer, Switzerland (2016) ...
In this method, the image features like color, texture and shape are excluded and the redundant features are decreased by Rough fuzzy sets method. Then the Rough fuzzy neural network classifier is educated by the use of these decreased features. In next phase, the robot can properly classify ...
A comparative study of fuzzy optimization through fuzzy number. Int. J. Mod. Res. 2021, 1, 1–14. [Google Scholar] Dong, J.; Wan, S.; Chen, S.M. Fuzzy best-worst method based on triangular fuzzy numbers for multi-criteria decision-making. Inf. Sci. 2021, 547, 1080–1104. [...
Mathematics, Harbin Institute of Technology, Harbin 150001, PR ChinacDepartment of Automation, Tsinghua University, Beijing 100084, PR ChinaReceived 18 April 2005; received in revised form 20 November 2006; accepted 27 November 2006AbstractThis paper proposes an approach to fuzzy rough sets in the ...
As a classic model of three-way decisions, the decision-theoretic rough sets (DTRSs) have been adopted to help make profit-based investment decisions. However, there is epistemic uncertainty in the assessment of investment projects, hence the hesitant fuzzy sets (HFSs) are appropriate tool for ...
For instance, in “Multi-granulation fuzzy rough sets based on overlap functions with a new approach to MAGDM” [32], the approach establishes two novel types of MGFRS models under n-dimensional overlap functions to overcome limitations in existing models and applies them to the multi-attribute ...
RoughSets - RoughSets: Data Analysis Using Rough Set and Fuzzy Rough Set Theories. [Deprecated] rpart - rpart: Recursive Partitioning and Regression Trees. RPMM - RPMM: Recursively Partitioned Mixture Model. RSNNS - RSNNS: Neural Networks in R using the Stuttgart Neural Network Simulator (SNNS...
This study aims to develop a fuzzy expert system for setting Brazilian highway speed limits. Six variables were considered as inputs of the fuzzy system. The system was built based on the knowledge of various experts with experience in speed limits. The membership functions and the fuzzy rules...