PCTLHS-Matrix, Time-based Level Cuts, Operators, and unified time-layer health state Model.

Authors

  • Shazia Rana University University of Management and Technology, Johar Town Campus, Lahore, 54000, Pakistan
  • Muhammad Saeed University of New Mexico, Mathematics, Physics, and Natural Science Division, 705 Gurley Ave., Gallup, NM 87301, USA

Keywords:

PCTLHS-Matrix, Time-Layers, Level-Cuts, Sub-Level Cuts, Sub-Sub- Level Cuts, Combined Event-View, Separate event-view, Partial event view, Aggregation-Operators

Abstract

This article aims to introduce a unique hypersoft time-based matrix model that organizes and classifies higher-dimensional information scattered in numerous forms and vague appearances varying on specific time levels. Classical matrices as rank-2 tensors single-handedly relate equations and variables across rows and columns are a limited approach to organizing higher-dimensional information. This Plithogenic Crisp Time Leveled Hypersoft Matrix (PCTLHS-Matrix) model is designed to sort the higher dimensional information flowing in parallel time layers as a combined view of events. This matrix has several parallel layers of time.

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Published

2022-08-01

Issue

Vol. 51 (2022): Neutrosophic Sets and Systems

Section

SI#1,2024: Neutrosophical Advancements And Their Impact on Research

License

Creative Commons License

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

 Creative Commons Attribution (CC BY) license.

How to Cite

Rana, S. ., & Saeed, M. . (2022). PCTLHS-Matrix, Time-based Level Cuts, Operators, and unified time-layer health state Model. Neutrosophic Sets and Systems, 51, 455-471. https://fs.unm.edu/nss8/index.php/111/article/view/2578

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