|
|
|
|
| LEADER |
01050 am a22001453u 4500 |
| 001 |
14465 |
| 042 |
|
|
|a dc
|
| 100 |
1 |
0 |
|a Liu, Siyuan
|e author
|
| 700 |
1 |
0 |
|a Mi, Honghai
|e author
|
| 700 |
1 |
0 |
|a Choy, Tsangcheung
|e author
|
| 245 |
0 |
0 |
|a R- Fuzzy sets in factor space
|
| 260 |
|
|
|b Penerbit Universiti Kebangsaan Malaysia,
|c 2019-12.
|
| 856 |
|
|
|z Get fulltext
|u http://journalarticle.ukm.my/14465/1/18%20Siyuan%20Liu.pdf
|
| 520 |
|
|
|a Interval-valued fuzzy sets, both-branch fuzzy sets and R-Fuzzy sets are three extended forms of ordinary fuzzy sets. Compared to traditional fuzzy sets, interval-valued fuzzy sets have a stronger ability to express uncertainty because they provide more choices for the descriptions of attributes. Using both-branch fuzzy sets has solved some problems in engineering decision and engineering control. For R-Fuzzy sets, a new fuzzy system is constructed, with both-branch fuzzy sets as a special case. The resulting theorems improve the flexibility of uncertainty system models and expand the range of fuzzy system applications as well.
|
| 546 |
|
|
|a en
|
