Path: Top -> Journal -> Jurnal Internasional -> Fuzzy Information and Engineering -> 2016 -> Volume 8, Issue 2, June

Robustness of Fuzzy Reasoning Based on Schweizer–Sklar Interval-valued t-Norms

Journal from gdlhub / 2017-08-21 15:34:51
Oleh : Schweizer–Sklar interval-valued operatorInterval-valued fuzzy connectiveInterval-valued fuzzy inferenceRobustness, Fuzzy Information and Engineering
Dibuat : 2016-06-21, dengan 1 file

Keyword : Schweizer–Sklar 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 Schweizer–Sklar interval-valued operators and triple I principles for fuzzy reasoning. Firstly, we give the interval-valued triple I solutions based on Schweizer–Sklar interval-valued operators. Then, we investigate the sensitivity of Schweizer–Sklar interval-valued fuzzy connectives. Finally, we study the robustness of the triple I algorithms based on Schweizer–Sklar 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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PropertiNilai Properti
ID Publishergdlhub
OrganisasiFuzzy Information and Engineering
Nama KontakHerti Yani, S.Kom
AlamatJln. Jenderal Sudirman
KotaJambi
DaerahJambi
NegaraIndonesia
Telepon0741-35095
Fax0741-35093
E-mail Administratorelibrarystikom@gmail.com
E-mail CKOelibrarystikom@gmail.com

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