Path: Top -> Journal -> Jurnal Internasional -> Fuzzy Information and Engineering -> 2016 -> Volume 8, Issue 2, June
Robustness of Fuzzy Reasoning Based on SchweizerSklar Interval-valued t-Norms
Oleh : SchweizerSklar interval-valued operatorInterval-valued fuzzy connectiveInterval-valued fuzzy inferenceRobustness, Fuzzy Information and Engineering
Dibuat : 2016-06-21, dengan 1 file
Keyword : SchweizerSklar interval-valued operatorInterval-valued fuzzy connectiveInterval-valued fuzzy inferenceRobustness
Url : http://www.sciencedirect.com/science/article/pii/S1616865816300218
Sumber pengambilan dokumen : web
In this paper, we focus on the parametric triple I algorithms by the combination of SchweizerSklar interval-valued operators and triple I principles for fuzzy reasoning. Firstly, we give the interval-valued triple I solutions based on SchweizerSklar interval-valued operators. Then, we investigate the sensitivity of SchweizerSklar interval-valued fuzzy connectives. Finally, we study the robustness of the triple I algorithms based on SchweizerSklar interval-valued t-norms (m∈(0,∞)). It shows that the quality of interval-valued fuzzy reasoning algorithms depends on the selection of interval-valued fuzzy connectives.
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|---|---|
| ID Publisher | gdlhub |
| Organisasi | Fuzzy Information and Engineering |
| Nama Kontak | Herti Yani, S.Kom |
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| Daerah | Jambi |
| Negara | Indonesia |
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