Neutrosophic Prevalence Field and Multipolar Dominance: A New Mathematical Model for Decision-Making in Mobile Robot Operational Efficiency Based on Industrial Internet

Authors

  • Dingqun Zhang School of Intelligent Manufacturing, Nanyang Vocational College of Science and Technology, Dengzhou, 474150, Henan, China

Keywords:

Neutrosophic logic, mobile robot, decision-making, prevalence field, multipolar dominance, industrial systems, uncertainty

Abstract

Mobile robots in industrial environments must make fast and accurate 
decisions, even when data is incomplete, uncertain, or contradictory. This paper 
introduces a new mathematical model that combines two original ideas: the Neutrosophic 
Prevalence Field (NPF) and Multipolar Neutrosophic Dominance. The model allows a 
robot to evaluate possible actions based on truth, uncertainty, and falsehood levels, while 
also considering how strong or dominant each action is. It also accounts for different goals 
or influences (called "poles") that may compete during decision-making. We define all 
components mathematically, present the full decision equation, and explain how the 
model can help robots make better decisions in complex industrial systems. Several 
numerical examples are included to show how the method works in practice.

 

DOI: 10.5281/zenodo.15825568

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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

Dingqun Zhang. (2025). Neutrosophic Prevalence Field and Multipolar Dominance: A New Mathematical Model for Decision-Making in Mobile Robot Operational Efficiency Based on Industrial Internet . Neutrosophic Sets and Systems, 88, 472-485. https://fs.unm.edu/nss8/index.php/111/article/view/6679