Results 21 to 30 of about 40,866 (303)

Topological Properties of Generalized Rough Approximation Operators Based on Objects [PDF]

Jisuanji kexue, 2023
Rough set theory is a mathematical tool to deal with uncertain problems.The core notion of rough set theory is appro-ximation operators.Pawlak approximation operators based on equivalence relations cab be extended to generalized rough approximation ...
LI Yanyan, QIN Keyun
doaj   +1 more source

River pattern discriminant method based on Rough Set theory

Journal of Hydrology: Regional Studies, 2023
Study region: The Yellow River located in the north of China, the most hyper-concentrated sediment-laden rivers in the world, is featured by complicated spatiotemporal variation of river patterns.
Chaode Yan, Ziwei Li, Muhammad Waseem Boota, Muhammad Zohaib, Xiao Liu, Chunlong Shi, Jikun Xu   +6 more
doaj   +1 more source

An Efficient Soft Set-Based Approach for Conflict Analysis. [PDF]

PLoS ONE, 2016
Conflict analysis has been used as an important tool in economic, business, governmental and political dispute, games, management negotiations, military operations and etc.
Edi Sutoyo, Mungad Mungad, Suraya Hamid, Tutut Herawan   +3 more
doaj   +1 more source

Attribute Reduction Based on Consistent Covering Rough Set and Its Application

Complexity, 2017
As an important processing step for rough set theory, attribute reduction aims at eliminating data redundancy and drawing useful information. Covering rough set, as a generalization of classical rough set theory, has attracted wide attention on both ...
Jianchuan Bai, Kewen Xia, Yongliang Lin, Panpan Wu   +3 more
doaj   +1 more source

Constrained tolerance rough set in incomplete information systems

CAAI Transactions on Intelligence Technology, 2021
The tolerance rough set is developed as one of the outstanding extensions of the Pawlak's rough set model under incomplete information, and the limited tolerance relation is developed to overcome the problem that objects leniently satisfy the tolerance ...
Renxia Wan, Duoqian Miao, Witold Pedrycz
doaj   +1 more source

A Novel Text Classification Model Combining Time Correlation Principle and Rough Set Theory

IEEE Access, 2023
This research aims to design a literary text feature classification and information extraction model based on the principle of temporal association and rough set theory.
Dejun Zhang
doaj   +1 more source

Neutrosophic Soft Rough Graphs with Application

Axioms, 2018
Neutrosophic sets (NSs) handle uncertain information while fuzzy sets (FSs) and intuitionistic fuzzy sets (IFs) fail to handle indeterminate information. Soft set theory, neutrosophic set theory, and rough set theory are different mathematical models for
Muhammad Akram, Hafsa M. Malik, Sundas Shahzadi, Florentin Smarandache   +3 more
doaj   +1 more source

Decision-Theoretic Rough Set: A Fusion Strategy

IEEE Access, 2020
Decision-theoretic rough set is a popular topic. However, such single-granulation rough set model is not able to handle complex information well, such as multi-source, multi-scale and high dimensions data.
Tao Yin, Xiaojuan Mao, Ying Zhang, Yiting Ma, Hengrong Ju, Weiping Ding   +5 more
doaj   +1 more source

A scalable and effective rough set theory-based approach for big data pre-processing

, 2020
International audienceA big challenge in the knowledge discovery process is to perform data pre-processing, specifically feature selection, on a large amount of data and high dimensional attribute set.
Lebbah, Mustapha, Chelly Dagdia, Zaineb, Christine Zarges, Beck, Gaël, Gaël Beck, Zaineb Chelly Dagdia, Mustapha Lebbah, Zarges, Christine   +7 more
core   +1 more source

The Parameter Reduction of Fuzzy Soft Sets Based on Soft Fuzzy Rough Sets

Advances in Fuzzy Systems, 2013
Fuzzy set theory, rough set theory, and soft set theory are three effective mathematical tools for dealing with uncertainties and have many wide applications both in theory and practise. Meng et al.
Zhiming Zhang
doaj   +1 more source