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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

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.

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