Soft pre-rough sets and its applications in decision making

Soft rough set model represents a different mathematical model to which many real-life data can be connected. In fact, this theory represents a link between soft set and rough set theories. The main goal of the present paper is to introduce a new approach to modify and generalize soft rough sets. We...

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Main Authors: M. El Sayed, Abdul Gawad A. Q. Al Qubati, M. K. El-Bably
Format: Article
Language:English
Published: AIMS Press 2020-09-01
Series:Mathematical Biosciences and Engineering
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2020321?viewType=HTML
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author M. El Sayed
Abdul Gawad A. Q. Al Qubati
M. K. El-Bably
author_facet M. El Sayed
Abdul Gawad A. Q. Al Qubati
M. K. El-Bably
author_sort M. El Sayed
collection DOAJ
description Soft rough set model represents a different mathematical model to which many real-life data can be connected. In fact, this theory represents a link between soft set and rough set theories. The main goal of the present paper is to introduce a new approach to modify and generalize soft rough sets. We are discussing and exploring the basic properties for these approaches. In addition, we use the suggested approaches as a mathematical modeling for an uncertain data and deal with the ambiguity. Comparisons among the proposed methods and the previous one are obtained. Finally, a medical application of the suggested approximations in decision making of diagnosis of COVID-19 is illustrated. Moreover, we develop an algorithm following these concepts and apply it to a decision making problem to demonstrate the applicability of the proposed methods.
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spelling doaj.art-fa8b40d4da5b457daa47d4cc8552da6b2022-12-21T21:29:46ZengAIMS PressMathematical Biosciences and Engineering1551-00182020-09-011756045606310.3934/mbe.2020321Soft pre-rough sets and its applications in decision makingM. El Sayed 0Abdul Gawad A. Q. Al Qubati1M. K. El-Bably21. Department of Mathematics, College of Science and Arts, Najran University, Kingdom of Saudi Arabia 2. Department of Mathematics, Faculty of Science, Tanta University, Egypt1. Department of Mathematics, College of Science and Arts, Najran University, Kingdom of Saudi Arabia2. Department of Mathematics, Faculty of Science, Tanta University, EgyptSoft rough set model represents a different mathematical model to which many real-life data can be connected. In fact, this theory represents a link between soft set and rough set theories. The main goal of the present paper is to introduce a new approach to modify and generalize soft rough sets. We are discussing and exploring the basic properties for these approaches. In addition, we use the suggested approaches as a mathematical modeling for an uncertain data and deal with the ambiguity. Comparisons among the proposed methods and the previous one are obtained. Finally, a medical application of the suggested approximations in decision making of diagnosis of COVID-19 is illustrated. Moreover, we develop an algorithm following these concepts and apply it to a decision making problem to demonstrate the applicability of the proposed methods.https://www.aimspress.com/article/doi/10.3934/mbe.2020321?viewType=HTMLsoft setssoft rough setssoft pre-rough setsdecision making
spellingShingle M. El Sayed
Abdul Gawad A. Q. Al Qubati
M. K. El-Bably
Soft pre-rough sets and its applications in decision making
Mathematical Biosciences and Engineering
soft sets
soft rough sets
soft pre-rough sets
decision making
title Soft pre-rough sets and its applications in decision making
title_full Soft pre-rough sets and its applications in decision making
title_fullStr Soft pre-rough sets and its applications in decision making
title_full_unstemmed Soft pre-rough sets and its applications in decision making
title_short Soft pre-rough sets and its applications in decision making
title_sort soft pre rough sets and its applications in decision making
topic soft sets
soft rough sets
soft pre-rough sets
decision making
url https://www.aimspress.com/article/doi/10.3934/mbe.2020321?viewType=HTML
work_keys_str_mv AT melsayed softpreroughsetsanditsapplicationsindecisionmaking
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