Intuitionistic Fuzzy Automaton for Approximate String Matching

This paper introduces an intuitionistic fuzzy automaton model for computing the similarity between pairs of strings. The model details the possible edit operations needed to transform any input (observed) string into a target (pattern) string by providing a membership and non-membership value betwee...

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Main Authors: K.M. Ravi, A. Choubey, K.K. Tripati
Format: Article
Language:English
Published: Tsinghua University Press 2014-03-01
Series:Fuzzy Information and Engineering
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1616865814000041
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author K.M. Ravi
A. Choubey
K.K. Tripati
author_facet K.M. Ravi
A. Choubey
K.K. Tripati
author_sort K.M. Ravi
collection DOAJ
description This paper introduces an intuitionistic fuzzy automaton model for computing the similarity between pairs of strings. The model details the possible edit operations needed to transform any input (observed) string into a target (pattern) string by providing a membership and non-membership value between them. In the end, an algorithm is given for approximate string matching and the proposed model computes the similarity and dissimilarity between the pair of strings leading to better approximation.
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spelling doaj.art-b41d02a73af8469c82781777b7e4b6d72023-08-02T05:17:36ZengTsinghua University PressFuzzy Information and Engineering1616-86582014-03-0161293910.1016/j.fiae.2014.06.003Intuitionistic Fuzzy Automaton for Approximate String MatchingK.M. Ravi0A. Choubey1K.K. Tripati2Department of Mathematics, R V College of Engineering, R V Vidyanikethan Post, Mysore Road, Bangalore- 560059, Karnataka, IndiaDepartment of Mathematics, Jaypee Institute of Information Technology, A-10, Sector-62, Noida- 201307, Uttarpradesh, IndiaCorporate Info. System, Indian oil Corp. Ltd., CBTC, IIPM Complex, 83, Inst. Area, Sec. 18, Gurgaon- 122001(HAR), IndiaThis paper introduces an intuitionistic fuzzy automaton model for computing the similarity between pairs of strings. The model details the possible edit operations needed to transform any input (observed) string into a target (pattern) string by providing a membership and non-membership value between them. In the end, an algorithm is given for approximate string matching and the proposed model computes the similarity and dissimilarity between the pair of strings leading to better approximation.http://www.sciencedirect.com/science/article/pii/S1616865814000041Character recognitionApproximate string matchingIntuitionistic fuzzy automatonPattern stringObserved string
spellingShingle K.M. Ravi
A. Choubey
K.K. Tripati
Intuitionistic Fuzzy Automaton for Approximate String Matching
Fuzzy Information and Engineering
Character recognition
Approximate string matching
Intuitionistic fuzzy automaton
Pattern string
Observed string
title Intuitionistic Fuzzy Automaton for Approximate String Matching
title_full Intuitionistic Fuzzy Automaton for Approximate String Matching
title_fullStr Intuitionistic Fuzzy Automaton for Approximate String Matching
title_full_unstemmed Intuitionistic Fuzzy Automaton for Approximate String Matching
title_short Intuitionistic Fuzzy Automaton for Approximate String Matching
title_sort intuitionistic fuzzy automaton for approximate string matching
topic Character recognition
Approximate string matching
Intuitionistic fuzzy automaton
Pattern string
Observed string
url http://www.sciencedirect.com/science/article/pii/S1616865814000041
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AT achoubey intuitionisticfuzzyautomatonforapproximatestringmatching
AT kktripati intuitionisticfuzzyautomatonforapproximatestringmatching