Volume 11, Issue 1, 2018, Pages 1111 - 1122
Robustness of general Triple I method for fuzzy soft sets
Authors
Lu Wang1, 965151752@qq.com, Keyun Qin*, keyunqin@263.net
1College of Mathematics, Southwest Jiaotong University, Chengdu, 610031, Sichuan, PR China†
*
E-mail: keyunqin@263.net(Keyun Qin)
†
E-mail: 965151752@qq.com(Lu Wang),
Corresponding Author
Keyun Qinkeyunqin@263.net
Received 9 March 2018, Accepted 18 May 2018, Available Online 4 June 2018.
- DOI
- 10.2991/ijcis.11.1.84How to use a DOI?
- Keywords
- Fuzzy soft set; λ – Triple I method; robustness; Left continuous t-norm
- Abstract
The stability and robustness analysis is a vital issue of fuzzy soft inference. In this paper, λ–Triple I inference methods based on the fuzzy soft modus ponens (FSMP) and fuzzy soft modus tollens (FSMT) are presented. The related computational formulas for inference conclusions with respect to the residual pair are given. Robustness of λ–Triple I inference methods for FSMP and FSMT are analyzed. Finally, robustness analysis of general Triple I inference methods for multiple fuzzy soft rule in the FSMP model are presented.
- Copyright
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).
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TY - JOUR AU - Lu Wang AU - Keyun Qin PY - 2018 DA - 2018/06/04 TI - Robustness of general Triple I method for fuzzy soft sets JO - International Journal of Computational Intelligence Systems SP - 1111 EP - 1122 VL - 11 IS - 1 SN - 1875-6883 UR - https://doi.org/10.2991/ijcis.11.1.84 DO - 10.2991/ijcis.11.1.84 ID - Wang2018 ER -