Abstract
This paper attempts to present the new approach to design sufficient number of systematic fuzzy linguistics in matrix form and map the Fuzzy Linguistic Variable Matrix, which contains linguistic terms, into numeric domain using Fuzzy Normal Distribution based on the Parabola-based Membership Function. Existing fuzzy set theory is difficult to design the systematic and sufficient fuzzy linguistics. Due to this reason, in most practice, giving insufficient fuzzy linguistics induces inaccurate calculation whilst giving excessive fuzzy linguistics induces the parameter design problems and calculation performance. This paper presents Fuzzy Linguistic Variable Matrix and Parabola-based Fuzzy Normal Distribution (FND) as preferred framework to address the problem.
| Original language | English |
|---|---|
| Title of host publication | Intelligent Information Processing III |
| Place of Publication | Boston MA USA |
| Publisher | Springer |
| Pages | 205-215 |
| Number of pages | 11 |
| ISBN (Electronic) | 9780387446417 |
| ISBN (Print) | 9780387446394 |
| DOIs | |
| Publication status | Published - 2006 |
| Externally published | Yes |
| Event | International Conference on Intelligent Information Processing (IIP) 2006 - Adelaide, Australia Duration: 20 Sept 2006 → 23 Sept 2006 https://link.springer.com/book/10.1007/978-0-387-44641-7 |
Publication series
| Name | IFIP International Federation for Information Processing |
|---|---|
| Volume | 228 |
| ISSN (Print) | 1571-5736 |
Conference
| Conference | International Conference on Intelligent Information Processing (IIP) 2006 |
|---|---|
| Abbreviated title | IIP 2006 |
| Country/Territory | Australia |
| City | Adelaide |
| Period | 20/09/06 → 23/09/06 |
| Internet address |
Keywords
- Directional hedge linguistics
- Fuzzy linguistics variable matrix
- Fuzzy logic
- Fuzzy normal distribution
- Fuzzy set
- Parabola-based membership function
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