A Novel Approach for Characterizing Solutions of Rough Optimization Problems Based on Boundary Region

被引：0

作者：

Khalifa, Hamiden Abd El-Wahed ^{[1
,2
]}

Pamucar, Dragan ^{[3
]}

Kacem, Amina Hadj ^{[4
]}

Afifi, W. A. ^{[4
,5
]}

机构：

[1] Cairo Univ, Fac Grad Studies Stat Res, Dept Operat Res, Giza 12613, Egypt

[2] Qassim Univ, Coll Sci & Arts, Dept Math, Al Badaya, Saudi Arabia

[3] Univ Def Belgrade, Dept Logist, Belgrade 192204, Serbia

[4] Taibah Univ, Coll Sci, Math & Stat Dept, Yanbu, Saudi Arabia

[5] Tanta Univ, Fac Sci, Dept Math, Tanta, Egypt

来源：

COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE | 2022年 / 2022卷

关键词：

Compendex;

D O I：

10.1155/2022/8662289

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Rough set theory, presented by Pawlak in 1981, is one of the most well-known methods for communicating ambiguity by estimating an item based on some knowledge rather than membership. The concept of a rough function and its convexity and differentiability in regard to its boundary region are discussed in this work. The boundary notion is also used to present a new form of rough programming issue and its solutions. Finally, numerical examples are provided to demonstrate the proposed method and emphasize its advantages over other approaches.

引用

页数：12

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