3.9 Article

Topological approaches to rough approximations based on closure operators

Related references

Note: Only part of the references are listed.
Article Computer Science, Artificial Intelligence

Rough set approach to non-cooperative continuous differential games

M. G. Brikaa et al.

Summary: This article analyzes non-cooperative continuous differential games under a rough interval environment. A new class defined as rough non-cooperative continuous differential games is expressed by combining rough set and continuous differential games. An effective technique for solving the problem is developed, transforming rough non-cooperative continuous differential games into two problems with interval environment. Equilibrium strategies are derived using trust measure and expected value operator of rough intervals, with applicability and validity illustrated through a practical example.

GRANULAR COMPUTING (2021)

Article Computer Science, Artificial Intelligence

A survey on granular computing and its uncertainty measure from the perspective of rough set theory

Yunlong Cheng et al.

Summary: Granular computing is a method that uses information granules to solve complex problems, with rough sets being one of the main models that has been successfully applied in various fields. This paper surveys the main models, uncertainty measures, and applications of rough sets to demonstrate the basic ideas and principles of granular computing.

GRANULAR COMPUTING (2021)

Article Computer Science, Artificial Intelligence

A hybrid decision-making framework using rough mF bipolar soft environment

Muhammad Akram et al.

Summary: This article presents two novel hybrid multi-attribute decision-making models to handle multipolar information under fuzziness. The proposed concepts are illustrated with examples and efficient algorithms are developed to solve the problems. The comparison analysis of the proposed approaches with existing models is also discussed.

GRANULAR COMPUTING (2021)

Article Computer Science, Artificial Intelligence

Partial belong relation on soft separation axioms and decision-making problem, two birds with one stone

T. M. Al-shami et al.

SOFT COMPUTING (2020)

Article Computer Science, Artificial Intelligence

A new expert system in prediction of lung cancer disease based on fuzzy soft sets

Ahmed Mostafa Khalil et al.

SOFT COMPUTING (2020)

Article Mathematics, Applied

Applications of partial belong and total non-belong relations on soft separation axioms and decision-making problem

M. E. El-Shafei et al.

COMPUTATIONAL & APPLIED MATHEMATICS (2020)

Article Computer Science, Artificial Intelligence

Medical applications via minimal topological structure

A. A. Azzam et al.

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS (2020)

Article Computer Science, Artificial Intelligence

Certain types of coverings based rough sets with application

A. S. Nawar et al.

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS (2020)

Article Computer Science, Artificial Intelligence

Learning quasi-identifiers for privacy-preserving exchanges: a rough set theory approach

C. Wafo Soh et al.

GRANULAR COMPUTING (2020)

Article Mathematical & Computational Biology

Soft pre-rough sets and its applications in decision making

M. El Sayed et al.

MATHEMATICAL BIOSCIENCES AND ENGINEERING (2020)

Article Computer Science, Artificial Intelligence

Fast feature selection algorithm for neighborhood rough set model based on Bucket and Trie structures

Rachid Benouini et al.

GRANULAR COMPUTING (2020)

Article Mathematics

T-soft equality relation

Tareq M. Al-Shami et al.

TURKISH JOURNAL OF MATHEMATICS (2020)

Article Computer Science, Artificial Intelligence

Novel hybrid decision-making methods based on mF rough information

Muhammad Akram et al.

GRANULAR COMPUTING (2020)

Article Computer Science, Artificial Intelligence

Fuzzy rough soft set and its application to lattice

Susanta Bera et al.

GRANULAR COMPUTING (2020)

Article Computer Science, Artificial Intelligence

Probabilistic decision making based on rough sets in interval-valued fuzzy information systems

Derong Shi et al.

GRANULAR COMPUTING (2019)

Article Computer Science, Artificial Intelligence

Three-way decisions with reflexive probabilistic rough fuzzy sets

Jian-Min Ma et al.

GRANULAR COMPUTING (2019)

Article Computer Science, Artificial Intelligence

Multi-granulation fuzzy decision-theoretic rough sets and bipolar-valued fuzzy decision-theoretic rough sets and their applications

Prasenjit Mandal et al.

GRANULAR COMPUTING (2019)

Article Computer Science, Artificial Intelligence

Optimal granulation selection for multi-label data based on multi-granulation rough sets

Meishe Liang et al.

GRANULAR COMPUTING (2019)

Article Computer Science, Artificial Intelligence

Operation properties and algebraic properties of multi-covering rough sets

Qingzhao Kong et al.

GRANULAR COMPUTING (2019)

Article Computer Science, Information Systems

New Operations on Interval-Valued Picture Fuzzy Set, Interval-Valued Picture Fuzzy Soft Set and Their Applications

Ahmed Mostafa Khalil et al.

IEEE ACCESS (2019)

Article

Generating Simply Approximation Spaces by Using Decision Tables

M. El Sayed

Journal of Computational and Theoretical Nanoscience (2017)

Article

Soft Simply Open Sets in Soft Topological Space

M. El Sayed et al.

Journal of Computational and Theoretical Nanoscience (2017)

Article Computer Science, Artificial Intelligence

Generalized multigranulation rough sets and optimal granularity selection

Weihua Xu et al.

GRANULAR COMPUTING (2017)

Article Computer Science, Information Systems

Neighborhood operators for covering-based rough sets

Lynn D'eer et al.

INFORMATION SCIENCES (2016)

Article Computer Science, Information Systems

Rough set models in multigranulation spaces

Yiyu Yao et al.

INFORMATION SCIENCES (2016)

Article Computer Science, Artificial Intelligence

On some types of covering rough sets from topological points of view

Zhengang Zhao

INTERNATIONAL JOURNAL OF APPROXIMATE REASONING (2016)

Article Computer Science, Artificial Intelligence

Enforcing situation awareness with granular computing: a systematic overview and new perspectives

Vincenzo Loia et al.

GRANULAR COMPUTING (2016)

Article Computer Science, Information Systems

Some properties of generalized rough sets

Muhammad Irfan Ali et al.

INFORMATION SCIENCES (2013)

Article Computer Science, Information Systems

A comparison of two kinds of definitions of rough approximations based on a similarity relation

E. A. Abo-Tabl

INFORMATION SCIENCES (2011)

Article Computer Science, Information Systems

Generalized rough sets based on reflexive and transitive relations

Keyun Qin et al.

INFORMATION SCIENCES (2008)

Article Computer Science, Information Systems

On the structure of generalized rough sets

M Kondo

INFORMATION SCIENCES (2006)

Article Computer Science, Theory & Methods

A generalized topological view of motion in discrete space

A Galton

THEORETICAL COMPUTER SCIENCE (2003)

Article Computer Science, Information Systems

A pretopological approach for structural analysis

C Largeron et al.

INFORMATION SCIENCES (2002)

Article Chemistry, Multidisciplinary

Generalized topological spaces in evolutionary theory and combinatorial chemistry

BMR Stadler et al.

JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES (2002)