Efficient Breadth-First Reduct Search
| dc.contributor.author | Veera Boonjing | |
| dc.contributor.author | Pisit Chanvarasuth | |
| dc.date.accessioned | 2025-07-21T06:03:32Z | |
| dc.date.issued | 2020-05-21 | |
| dc.description.abstract | This paper formulates the problem of determining all reducts of an information system as a graph search problem. The search space is represented in the form of a rooted graph. The proposed algorithm uses a breadth-first search strategy to search for all reducts starting from the graph root. It expands nodes in breadth-first order and uses a pruning rule to decrease the search space. It is mathematically shown that the proposed algorithm is both time and space efficient. | |
| dc.identifier.doi | 10.3390/math8050833 | |
| dc.identifier.uri | https://dspace.kmitl.ac.th/handle/123456789/9407 | |
| dc.subject | Reduct | |
| dc.subject | Pruning | |
| dc.subject | Breadth-first search | |
| dc.subject | Depth-first search | |
| dc.subject.classification | Rough Sets and Fuzzy Logic | |
| dc.title | Efficient Breadth-First Reduct Search | |
| dc.type | Article |