Title of article
The picture fuzzy distance measure in controlling network power consumption
Author/Authors
Thi Roan, Ngan VNU University of Science - Vietnam National University, Hanoi, Vietnam , Coll, Salvador UPV Universitat Politècnica de València, Spain , Alonso, Marina UPV Universitat Politècnica de València, Spain , Miguel Martínez Rubio, Juan UPV Universitat Politècnica de València, Spain , López, Pedro UPV Universitat Politècnica de València, Spain , Andujar, Fran Universidad de Valladolid, Spain , Hoang Le, Son VNU Information Technology Institute - Vietnam National University, Hanoi, Vietnam , Van Vu, Manh VNU University of Science - Vietnam National University, Hanoi, Vietnam , Smarandache, Florentin University of New Mexico, Gallup Campus, USA
Pages
21
From page
1
To page
21
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.
Farsi abstract
فاقد چكيده فارسي
Keywords
Neutrosophic Set , Picture Fuzzy Set , Distance Measure , Decision Making , Interconnection Network , Power Consumption
Journal title
Journal of Fuzzy Extension and Applications
Serial Year
2020
Record number
2616524
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