Name
Title | ||
|---|---|---|
Non-Parametric Statistical Tests For Fuzzy Observations: Fuzzy Test Statistic Approach |
Abstract | ||
|---|---|---|
A general approach to the problem of testing statistical non-parametric tests is proposed, for the case when the available data are fuzzy and the level of significance is given as a fuzzy number. To do this, the usual concepts of test statistic and critical value are extended to the fuzzy test statistic and fuzzy critical value, by using the alpha-cuts approach. The method of decision making (to accept or reject the hypothesis of interest) is based on a suitable ranking method. A numerical example is prepaired to clarify the proposed approach. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.5391/IJFIS.2017.17.3.145 | INTERNATIONAL JOURNAL OF FUZZY LOGIC AND INTELLIGENT SYSTEMS |
Keywords | Field | DocType |
Location problem, scale problem, Fuzzy critical value, Fuzzy significance level, Preference degree | Test statistic,Fuzzy classification,Defuzzification,Fuzzy set operations,Fuzzy logic,Fuzzy mathematics,Fuzzy number,Statistics,Membership function,Mathematics | Journal |
Volume | Issue | ISSN |
17 | 3 | 1598-2645 |
Citations | PageRank | References |
1 | 0.35 | 9 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| S. Mahmoud Taheri | 1 | 90 | 10.84 |
| Gholamreza Hesamian | 2 | 69 | 15.53 |