Fuzzy splicing systems

Fariba Karimi; Sherzod Turaev; Nor Haniza Sarmin; Wan Heng Fong

doi:10.1007/978-3-319-11289-3_3

Fuzzy splicing systems

Fariba Karimi
, Sherzod Turaev
, Nor Haniza Sarmin
, Wan Heng Fong

Research output: Contribution to journal › Article › peer-review

7 Citations (Scopus)

Abstract

In this paper we introduce a new variant of splicing systems, called fuzzy splicing systems, and establish some basic properties of language families generated by this type of splicing systems. We study the “fuzzy effect” on splicing operations, and show that the “fuzzification” of splicing systems can increase and decrease the computational power of splicing systems with finite components with respect to fuzzy operations and cut-points chosen for threshold languages.

Original language	English
Pages (from-to)	20-29
Number of pages	10
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	8733
DOIs	https://doi.org/10.1007/978-3-319-11289-3_3
Publication status	Published - 2014
Externally published	Yes

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

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10.1007/978-3-319-11289-3_3

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AU - Turaev, Sherzod

AU - Sarmin, Nor Haniza

AU - Fong, Wan Heng

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PY - 2014

Y1 - 2014

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AB - In this paper we introduce a new variant of splicing systems, called fuzzy splicing systems, and establish some basic properties of language families generated by this type of splicing systems. We study the “fuzzy effect” on splicing operations, and show that the “fuzzification” of splicing systems can increase and decrease the computational power of splicing systems with finite components with respect to fuzzy operations and cut-points chosen for threshold languages.

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U2 - 10.1007/978-3-319-11289-3_3

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JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

ER -

Fuzzy splicing systems

Abstract

ASJC Scopus subject areas

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