Name
Abstract | ||
|---|---|---|
In statistical decisions we may come across imprecise (fuzzy) concepts. One important case is a situation where we are interested in testing the hypotheses that are fuzzy rather than crisp. In this paper we consider and analyze the testing of fuzzy hypotheses on the basis of a Bayesian approach. We illustrate our method by some examples, and compare it with previous works on this topic. |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1016/S0165-0114(00)00134-2 | Fuzzy Sets and Systems |
Keywords | Field | DocType |
Decision making,Statistics,Fuzzy hypothesis,Bayes test | Fuzzy logic,Decision theory,Artificial intelligence,Estimation theory,Multivariate analysis,Statistical theory,Machine learning,Mathematics,Statistical hypothesis testing,Bayesian probability | Journal |
Volume | Issue | ISSN |
123 | 1 | 0165-0114 |
Citations | PageRank | References |
23 | 2.30 | 1 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| S. Mahmoud Taheri | 1 | 90 | 10.84 |
| J. Behboodian | 2 | 23 | 2.64 |