Neutrosophic Inference Systems Using Takagi-Sugeno-Kang Model and Its Application

Authors

  • Irfan Deli Kilis 7 Aralik University, 79000 Kilis, Turkiye ;
  • Vakkas Ulucay Kilis 7 Aralik University, 79000 Kilis, Turkiye ;
  • Zeynep Baser Kilis 7 Aralik University, 79000 Kilis, Turkiye ;

Keywords:

Takagi-Sugeno-Kang; Neutrosophic sets; Neutrosophic inference system

Abstract

 In this article, a new Takagi-Sugeno-Kang (TSK) model was developed for neutrosophic environ
ments based on existing the fuzzy TSK models. The developed model establishes inference relations based on
 past experiences or data and o ers a new solution with IF-THEN rules for future events. In this direction, the
 neutrosophic TSK model was created using non-linear systems and made more e ective by using t and s norms
 in its solutions. In addition, this model is de ned for n input systems and nally an example application is
 given in non-linear systems with relationship between energy consumption and heating time to demonstrate the
 applicability of the two-input model.

 

DOI: 10.5281/zenodo.16102329

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Published

2025-09-15

Issue

Vol. 88 (2025): Neutrosophic Sets and Systems

Section

Article

License

Copyright (c) 2025 Neutrosophic Sets and Systems

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

 Creative Commons Attribution (CC BY) license.

How to Cite

Irfan Deli, Vakkas Ulucay, & Zeynep Baser. (2025). Neutrosophic Inference Systems Using Takagi-Sugeno-Kang Model and Its Application. Neutrosophic Sets and Systems, 88, 1019-1036. https://fs.unm.edu/nss8/index.php/111/article/view/6773