Name
Abstract | ||
|---|---|---|
This article deals with a new novel defuzzification method for the dense fuzzy sets. In our study, we first define the dense fuzzy set for triangular fuzzy numbers. Then new defuzzification methods have been formulated with crisp convergence tests. Cauchy sequence has been utilized for better illustrations. We show the usefulness and the global justification of newly introduced methods. Applications of new methods in decision making, psychological test, military selection, cryptography, photography, crime research, filtering of noisy environment and risk analysis have been given as its key indexes. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.3233/IFS-162160 | JOURNAL OF INTELLIGENT & FUZZY SYSTEMS |
Keywords | Field | DocType |
Dense fuzzy set,triangular fuzzy number,defuzzification method | Discrete mathematics,Algebra,Defuzzification,Fuzzy set,Fuzzy associative matrix,Mathematics | Journal |
Volume | Issue | ISSN |
31 | 1 | 1064-1246 |
Citations | PageRank | References |
5 | 0.43 | 9 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sujit Kumar De | 1 | 43 | 8.01 |
| Ismat Beg | 2 | 209 | 15.71 |