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A New Concept to Detect Isomorphism in Kinematic Chains using Fuzzy Similarity Index

by Syed Shane Haider Rizvi, Ali Hasan, R. A Khan
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 86 - Number 12
Year of Publication: 2014
Authors: Syed Shane Haider Rizvi, Ali Hasan, R. A Khan
10.5120/15039-3385

Syed Shane Haider Rizvi, Ali Hasan, R. A Khan . A New Concept to Detect Isomorphism in Kinematic Chains using Fuzzy Similarity Index. International Journal of Computer Applications. 86, 12 ( January 2014), 30-33. DOI=10.5120/15039-3385

@article{ 10.5120/15039-3385,
author = { Syed Shane Haider Rizvi, Ali Hasan, R. A Khan },
title = { A New Concept to Detect Isomorphism in Kinematic Chains using Fuzzy Similarity Index },
journal = { International Journal of Computer Applications },
issue_date = { January 2014 },
volume = { 86 },
number = { 12 },
month = { January },
year = { 2014 },
issn = { 0975-8887 },
pages = { 30-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume86/number12/15039-3385/ },
doi = { 10.5120/15039-3385 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:04:04.495133+05:30
%A Syed Shane Haider Rizvi
%A Ali Hasan
%A R. A Khan
%T A New Concept to Detect Isomorphism in Kinematic Chains using Fuzzy Similarity Index
%J International Journal of Computer Applications
%@ 0975-8887
%V 86
%N 12
%P 30-33
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents a new method based on fuzzy similarity measure to investigate isomorphism among kinematic chains having same number of links and degrees of freedom (d. o. f. ). Two different similarity measures which are available in the literature are used to compare the numerous distinct chains.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Fuzzy similarity measure kinematic chain isomorphism