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The search results for "math-ph" highlight diverse applications of mathematical principles in various fields. The first result involves the use of $q$-rung orthopair fuzzy sets to enhance decision-making processes by effectively modeling fuzzy information. The second discusses a "top down" approach to automated theorem proving, encouraging the examination and coding of mathematical concepts used in practice. The third explores the application of quantum groups in modeling genetic mutations, specifically using the crystal basis model to analyze codon mutations.
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semanticscholar.org
Multiple-Attribute Decision-Making Based on Archimedean Bonferroni Operators of q-Rung Orthopair Fuzzy Numbers

The theory of <inline-formula><tex-math notation="LaTeX">$q$</tex-math></inline-formula>-rung orthopair fuzzy sets (<inline-formula><tex-math notation="LaTeX">$q$</tex-math></inline-formula>-ROFSs) proposed by Yager effectively describes fuzzy information in the real world. Because <inline-formula><…

arxiv.org
Top-down Automated Theorem Proving (Notes for Sir Timothy)

We describe a "top down" approach for automated theorem proving (ATP). Researchers might usefully investigate the forms of the theorems mathematicians use in practice, carefully examine how they differ and are proved in practice, and code all relevant domain concepts. These concepts encode a large p…

cs.LO
arxiv.org
From quantum groups to genetic mutations

In the framework of the crystal basis model of the genetic code, where each codon is assigned to an irreducible representation of $U_{q \to 0}(sl(2) \oplus sl(2))$, single base mutation matrices are introduced. The strength of the mutation is assumed to depend on the "distance" between the codons. P…

math-ph q-bio.BM