A Novel Neutrosophic Multi-Layered Complex Refined Hyperstructure: Theoretical Advancement with Illustrative Examples from Employee Mental Health Education Effectiveness in Enterprises

This paper introduces a new theoretical structure in neutrosophic set theory called the Neutrosophic Multi-Layered Complex Refined Hyperstructure (NMCRH). It is a formal extension of Single-Valued Complex Refined Neutrosophic Sets (SVCRNS) and Subset-Valued Complex Refined Neutrosophic Sets (SSVCRNS...

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Main Authors: Min Zhang, Yaozu Wang, Rui Huang, Qiao Wu, Bingqing Li
Format: Article
Language:English
Published: University of New Mexico 2025-07-01
Series:Neutrosophic Sets and Systems
Subjects:
Online Access:https://fs.unm.edu/NSS/11MultiLayered.pdf
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author Min Zhang
Yaozu Wang
Rui Huang
Qiao Wu
Bingqing Li
author_facet Min Zhang
Yaozu Wang
Rui Huang
Qiao Wu
Bingqing Li
author_sort Min Zhang
collection DOAJ
description This paper introduces a new theoretical structure in neutrosophic set theory called the Neutrosophic Multi-Layered Complex Refined Hyperstructure (NMCRH). It is a formal extension of Single-Valued Complex Refined Neutrosophic Sets (SVCRNS) and Subset-Valued Complex Refined Neutrosophic Sets (SSVCRNS), defined by multiple interconnected layers of refined truth, indeterminacy, and falsity, each expressed as complex subset-valued functions. Unlike earlier models, NMCRH incorporates inter-layer projection functions that enable logical transitions between neutrosophic layers, forming a multi-level hyperstructure. Each projection uses weighted complex coefficients, making the structure highly adaptable and expressive in modeling uncertainty and logical multiplicity. The paper focuses strictly on theoretical development, providing full mathematical definitions, structured equations, and formal proofs. However, to aid understanding and interpretation, detailed numerical examples are presented using realworld-inspired scenarios from employee mental health education in enterprises (LIU). These examples demonstrate how neutrosophic complexity can be used to reflect layered psychological states, varied perceptual truths, and conflicting mental attitudes under educational programs. This framework offers a significant advancement in neutrosophic theory, providing a logically consistent, non-temporal, and highly extensible foundation for future work in logic, cognition, and uncertainty modeling.
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institution Kabale University
issn 2331-6055
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language English
publishDate 2025-07-01
publisher University of New Mexico
record_format Article
series Neutrosophic Sets and Systems
spelling doaj-art-0f5d2f841e9044d0b6b8649cc7e63a3f2025-08-20T03:44:18ZengUniversity of New MexicoNeutrosophic Sets and Systems2331-60552331-608X2025-07-018713914810.5281/zenodo.15625235A Novel Neutrosophic Multi-Layered Complex Refined Hyperstructure: Theoretical Advancement with Illustrative Examples from Employee Mental Health Education Effectiveness in EnterprisesMin ZhangYaozu WangRui HuangQiao WuBingqing LiThis paper introduces a new theoretical structure in neutrosophic set theory called the Neutrosophic Multi-Layered Complex Refined Hyperstructure (NMCRH). It is a formal extension of Single-Valued Complex Refined Neutrosophic Sets (SVCRNS) and Subset-Valued Complex Refined Neutrosophic Sets (SSVCRNS), defined by multiple interconnected layers of refined truth, indeterminacy, and falsity, each expressed as complex subset-valued functions. Unlike earlier models, NMCRH incorporates inter-layer projection functions that enable logical transitions between neutrosophic layers, forming a multi-level hyperstructure. Each projection uses weighted complex coefficients, making the structure highly adaptable and expressive in modeling uncertainty and logical multiplicity. The paper focuses strictly on theoretical development, providing full mathematical definitions, structured equations, and formal proofs. However, to aid understanding and interpretation, detailed numerical examples are presented using realworld-inspired scenarios from employee mental health education in enterprises (LIU). These examples demonstrate how neutrosophic complexity can be used to reflect layered psychological states, varied perceptual truths, and conflicting mental attitudes under educational programs. This framework offers a significant advancement in neutrosophic theory, providing a logically consistent, non-temporal, and highly extensible foundation for future work in logic, cognition, and uncertainty modeling. https://fs.unm.edu/NSS/11MultiLayered.pdfneutrosophic hyperstructurecomplex truth layersrefined uncertaintysubset-valued logicemployee mental statesmental health education
spellingShingle Min Zhang
Yaozu Wang
Rui Huang
Qiao Wu
Bingqing Li
A Novel Neutrosophic Multi-Layered Complex Refined Hyperstructure: Theoretical Advancement with Illustrative Examples from Employee Mental Health Education Effectiveness in Enterprises
Neutrosophic Sets and Systems
neutrosophic hyperstructure
complex truth layers
refined uncertainty
subset-valued logic
employee mental states
mental health education
title A Novel Neutrosophic Multi-Layered Complex Refined Hyperstructure: Theoretical Advancement with Illustrative Examples from Employee Mental Health Education Effectiveness in Enterprises
title_full A Novel Neutrosophic Multi-Layered Complex Refined Hyperstructure: Theoretical Advancement with Illustrative Examples from Employee Mental Health Education Effectiveness in Enterprises
title_fullStr A Novel Neutrosophic Multi-Layered Complex Refined Hyperstructure: Theoretical Advancement with Illustrative Examples from Employee Mental Health Education Effectiveness in Enterprises
title_full_unstemmed A Novel Neutrosophic Multi-Layered Complex Refined Hyperstructure: Theoretical Advancement with Illustrative Examples from Employee Mental Health Education Effectiveness in Enterprises
title_short A Novel Neutrosophic Multi-Layered Complex Refined Hyperstructure: Theoretical Advancement with Illustrative Examples from Employee Mental Health Education Effectiveness in Enterprises
title_sort novel neutrosophic multi layered complex refined hyperstructure theoretical advancement with illustrative examples from employee mental health education effectiveness in enterprises
topic neutrosophic hyperstructure
complex truth layers
refined uncertainty
subset-valued logic
employee mental states
mental health education
url https://fs.unm.edu/NSS/11MultiLayered.pdf
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