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.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8970921 | PMC |
| http://dx.doi.org/10.1155/2022/8662289 | DOI Listing |
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