An interval-valued fuzzy soft set based triple I method

Xue, Binbin; Wang, Lu; Qin, Keyun

doi:10.1109/iske.2017.8258816

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“…Wang proposed the similarity-based approximate reasoning methods for fuzzy soft set and presented the computational formulas for these methods 21 . Xue introduced triple I inference method for intervalvalued fuzzy soft sets and studied the reversibility property of triple I methods of interval-valued fuzzy soft modus ponens (IVFSMP) and interval-valued fuzzy soft modus tollens (IVFSMT) 22 . Xue studied the reversibility and the continuity of fuzzy soft set based triple I reasoning method 23 .…”

Section: Introductionmentioning

confidence: 99%

Robustness of general Triple I method for fuzzy soft sets

Wang¹,

Qin²

2018

IJCIS

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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.

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Section: Introductionmentioning

confidence: 99%