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

Autor:	Wahed Khalifa, Hamiden Abd El-, Pamucar, Dragan, Kacem, Amina Hadj, Afifi, W. A.
Předmět:	ROUGH sets AMBIGUITY
Zdroj:	Computational Intelligence & Neuroscience; 3/24/2022, p1-12, 12p
Abstrakt:	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. [ABSTRACT FROM AUTHOR]
Databáze:	Complementary Index
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