Name
Title | ||
|---|---|---|
Variable precision Bayesian rough set model and its application to Kansei engineering |
Abstract | ||
|---|---|---|
This paper proposes a rough set method to extract decision rules from human evaluation data with much ambiguity such as sense and feeling. To handle totally ambiguous and probabilistic human evaluation data, we propose an extended decision table and a probabilistic set approximation based on a new definition of information gain. Furthermore, for our application, we propose a two-stage method to extract probabilistic if-then rules simply using decision functions of approximate regions. Finally, we implemented the computer program of our proposed rough set method and applied it to Kansei Engineering of coffee taste design and examined the effectiveness of the proposed method. The result shows that our proposed rough set method is definitely applicable to human evaluation data. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11847465_9 | T. Rough Sets |
Keywords | Field | DocType |
probabilistic if-then rule,bayesian rough set model,extended decision table,probabilistic human evaluation data,two-stage method,human evaluation data,rough set method,decision rule,decision function,kansei engineering,proposed rough set method,variable precision,decision table,information gain,rough set | Decision rule,Data mining,Decision table,Computer science,Kansei engineering,Rough set,Engineering design process,Probabilistic logic,Dominance-based rough set approach,Bayesian probability | Journal |
Volume | ISSN | ISBN |
4100 | 0302-9743 | 3-540-39382-X |
Citations | PageRank | References |
4 | 0.56 | 17 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tatsuo Nishino | 1 | 16 | 2.01 |
| Mitsuo Nagamachi | 2 | 66 | 19.26 |
| Hideo Tanaka | 3 | 84 | 8.70 |