The picture fuzzy distance measure in controlling network power consumption

Journal Title: Journal of Fuzzy Extension & Applications - Year 2020, Vol 1, Issue 3

Abstract

In order to solve the complex decision-making problems, there are many approaches and systems based on the fuzzy theory were proposed. In 1998, Smarandache introduced the concept of single-valued neutrosophic set as a complete development of fuzzy theory. In this paper, we research on the distance measure between single-valued neutrosophic sets based on the H-max measure of Ngan et al. [8]. The proposed measure is also a distance measure between picture fuzzy sets which was introduced by Cuong in 2013 [15]. Based on the proposed measure, an Adaptive Neuro Picture Fuzzy Inference System (ANPFIS) is built and applied to the decision making for the link states in interconnection networks. In experimental evaluation on the real datasets taken from the UPV (Universitat Politècnica de València) university, the performance of the proposed model is better than that of the related fuzzy methods.

Authors and Affiliations

Ngan Thi Roan; Salvador Coll; Marina Alonso; Juan Miguel Martínez Rubio; Pedro López; Fran Andujar; Son Hoang Le; Manh Van Vu; Florentin Smarandache

Keywords

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  • EP ID EP692655
  • DOI 10.22105/JFEA.2020.249183.1009
  • Views 127
  • Downloads 0

How To Cite

Ngan Thi Roan; Salvador Coll; Marina Alonso; Juan Miguel Martínez Rubio; Pedro López; Fran Andujar; Son Hoang Le; Manh Van Vu; Florentin Smarandache (2020). The picture fuzzy distance measure in controlling network power consumption. Journal of Fuzzy Extension & Applications, 1(3), -. https://europub.co.uk/articles/-A-692655