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The basic concept of attribute reduction in Rough Sets Theory (RST) and the idea of Particle Swarm Optimization(PSO) are briefly combined.
Abstract. The basic concept of attribute reduction in Rough Sets The- ory (RST) and the idea of Particle Swarm Optimization(PSO) are briefly combined.
attribute reduction of rough set based on particle swarm optimization with immunity, the conventional. PSO applied to attribute reduction is selected for.
We have proposed attribute reduction in DTRSM by optimizing the expected overall risk using particle swarm optimization algorithm. The proposed algorithm was ...
In this paper, we focus on an attribute reduction based on particle swarm optimization (PSO) to overcome the drawbacks of traditional rough set theory. Firstly, ...
May 15, 2024 · In this paper, a rough set attribute reduction algorithm based on spatial optimization is proposed. By introducing the concept of spatial similarity,
Missing: PSO. | Show results with:PSO.
Oct 2, 2017 · As an important processing step for rough set theory, attribute reduction aims at eliminating data redundancy and drawing useful information ...
A novel attribute reduction algorithm based on Artificial Fish Swarm Algorithm (AFSA) and rough set is proposed.
Attribute reduction is proved to be a non-deterministic polynomial problem (NP). Minimal attribute reduction is the main research content in rough set ...
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Oct 22, 2024 · This paper applies the particle swarm algorithm and rough set to the fault diagnosis, and proposes fault diagnosis knowledge acquisition, rules ...