Neutrosophic Encoding and Decoding Algorithm for ASCII Code System

Authors

  • A. A. Salama Dept. of Math and Computer Sci., Faculty of Science, Port Said Univ., Egypt
  • Zahraa Tarek Dept. of Computer Science, Faculty of Computers and information, Mansoura University, Egypt
  • Eman Yousif Darwish Dept. of Math and Computer Science., Faculty of Science, Port Said University, Egypt
  • Sherif Elseuof Dept. of Information System, Higher Institute for Computers & Specific Studies, Ras El-Bar, Damietta, Egypt
  • Mahmoud Y. Shams Dept. of Machine Learning, Faculty of Artificial Intelligence, Kafrelsheikh University, Egypt

Keywords:

Neutrosophic ASCII Code system, ASCII Neutrosophic codes, uncertain values, neutrosophic Systems

Abstract

Context and Background: This paper addresses the challenge of encoding and decoding numerical data by introducing innovative algorithms utilizing Neutrosophic ASCII codes and ASCII Neutrosophic codes. These codes serve to represent uncertain or imprecise character values through the incorporation of neutrosophic numbers, encompassing degrees of truth, falsity, and indeterminacy. Motivation: The study stems from the necessity to effectively represent uncertain or imprecise character values in numerical data. This is crucial in diverse applications where handling uncertain or ambiguous data is a prevalent concern. Hypothesis: We hypothesize that employing Neutrosophic ASCII codes and ASCII Neutrosophic codes in encoding and decoding numerical data can provide a robust solution for representing uncertain or imprecise character values. Methods: The encoding algorithm in this study transforms each character in the ASCII string into its corresponding ASCII code, utilizing either 7 or 8 bits based on the code type. This algorithm
calculates the degree of truth, falsity, and indeterminacy for each bit, considering the uncertainty or ambiguity associated with the character. The resulting neutrosophic numbers are appended to create the Neutrosophic ASCII code or ASCII Neutrosophic code. The decoding algorithm partitions the code into groups of neutrosophic numbers, calculates the associated degrees of truth, falsity, and indeterminacy for each ASCII bit, and converts the neutrosophic numbers back to ASCII codes, reconstructing the original ASCII character string. Results: Our study yields a novel and effective approach for encoding and decoding numerical data, demonstrating the potential of Neutrosophic ASCII codes and ASCII Neutrosophic codes in representing uncertain or imprecise character values. Conclusions: The proposed algorithms offer a promising solution for handling uncertain or ambiguous data in numerical encoding and decoding. The specific and quantitative results highlight the efficacy of Neutrosophic ASCII codes and ASCII Neutrosophic codes,
showcasing their potential applicability in various domains requiring robust solutions for uncertain or imprecise character representation in numerical data.

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Published

2024-01-15

Issue

Section

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

How to Cite

A. A. Salama, Zahraa Tarek, Eman Yousif Darwish, Sherif Elseuof, & Mahmoud Y. Shams. (2024). Neutrosophic Encoding and Decoding Algorithm for ASCII Code System. Neutrosophic Sets and Systems, 63, 105-129. https://fs.unm.edu/nss8/index.php/111/article/view/3881

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