Fuzzy Inference Full Implication Method Based on Single Valued Neutrosophic t-representable t-norm: Purposes, Strategies, and a Proof-of-Principle Study

Journal Title: Neutrosophic Systems with Applications - Year 2024, Vol 14, Issue 1

Abstract

As a generalization of intuitionistic fuzzy sets, single-valued neutrosophic sets have certain advantages in solving indeterminate and inconsistent information. In this paper, we study the fuzzy inference full implication method based on single-valued neutrosophic t-representable t-norm. Firstly, single-valued neutrosophic fuzzy inference triple I principles for fuzzy modus ponens and fuzzy modus tollens are given. Then, single-valued neutrosophic R-type triple I solutions for FMP and FMT are given. Finally, the robustness of the full implication triple I method based on the left-continuous single-valued neutrosophic t-representable t-norm is investigated. As a special case of the main results, the sensitivity of full implication triple I solutions based on three special single-valued neutrosophic t-representable t-norms are given.

Authors and Affiliations

Minxia Luo, Ziyang Sun, Donghui Xu, Lixian Wu

Keywords

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  • EP ID EP729603
  • DOI https://doi.org/10.61356/j.nswa.2024.104
  • Views 44
  • Downloads 1

How To Cite

Minxia Luo, Ziyang Sun, Donghui Xu, Lixian Wu (2024). Fuzzy Inference Full Implication Method Based on Single Valued Neutrosophic t-representable t-norm: Purposes, Strategies, and a Proof-of-Principle Study. Neutrosophic Systems with Applications, 14(1), -. https://europub.co.uk/articles/-A-729603