Paper Info
Title
Similarity-based fuzzy reasoning by DNA computing
Abstract
In this paper, we propose a wet lab algorithm for applicable form of fuzzy reasoning by DNA computing with an aim to add a new dimension to the existing similarity-based fuzzy reasoning method by bringing it down to nanoscale computing. We replace the logical aspect of fuzzy reasoning by DNA chemistry. To achieve this goal, we first fuzzify the synthetic DNA sequence which is called fuzzy DNA and which handles the vague concept of human reasoning. We adopt the basic notion of DNA computing based on standard DNA operations. In the present model, we consider double stranded DNA sequences with a specific aim of measuring similarity between two DNA sequences. The present wet lab procedure can exploit massive parallelism of DNA computing. The end result of the wet lab algorithm produces multivalued status which can be linguistically interpreted to match the perception of human expert.
Year
DOI
Venue
2011
10.1504/IJBIC.2011.039910
IJBIC
Keywords
Field
DocType
similarity-based fuzzy reasoning,fuzzy reasoning,human reasoning,dna sequence,synthetic dna sequence,dna computing,fuzzy dna,wet lab algorithm,standard dna operation,existing similarity-based fuzzy reasoning,dna chemistry,fuzzy sets,nanotechnology,fuzzy set,fuzzy logic,natural computing,dna sequences
Neuro-fuzzy,Natural computing,Fuzzy classification,Fuzzy set operations,Fuzzy logic,Fuzzy set,Theoretical computer science,Artificial intelligence,Fuzzy number,Mathematics,DNA computing
Journal
Volume
Issue
ISSN
3
2
1758-0366
Citations 
PageRank 
References 
6
0.64
11
Authors
2
Name
Order
Citations
PageRank
Kumar Sankar Ray1277.79
Mandrita Mondal283.74