Staff View: Relationship between fuzzy edge connectivity and the variables in clinical waste incineration process

Relationship between fuzzy edge connectivity and the variables in clinical waste incineration process

Structured networks of interacting components are hallmarks of several complex systems and clinical waste incineration process is an example of such a system. Fuzzy graph theory provides important tools to capture various aspects of complexity, imprecision and fuzziness of the network structure of t...

Full description

Saved in:

Bibliographic Details
Main Authors:	Baharun, Sabariah, Ahmad, Tahir, Mohd. Yusof, Mohd. Rashid
Format:	Article
Language:	English
Published:	Faculty of Science 2009
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/7970/1/SabariahBaharun2009_RelationshipBetweenFuzzyEdgeConnectivity.pdf http://eprints.utm.my/id/eprint/7970/ http://www.fs.utm.my/matematika/content/view/227/31/
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my.utm.7970
record_format	eprints
spelling	my.utm.79702010-09-02T09:00:46Z http://eprints.utm.my/id/eprint/7970/ Relationship between fuzzy edge connectivity and the variables in clinical waste incineration process Baharun, Sabariah Ahmad, Tahir Mohd. Yusof, Mohd. Rashid TK Electrical engineering. Electronics Nuclear engineering Structured networks of interacting components are hallmarks of several complex systems and clinical waste incineration process is an example of such a system. Fuzzy graph theory provides important tools to capture various aspects of complexity, imprecision and fuzziness of the network structure of the incineration system as compared to the discrete description of relation of its crisp graph. This paper discusses he use of fuzzy edge connectivity in describing the relation between the variables in he incineration process. It begins with the definition of fuzzy graph that involves fve different types of graph fuzziness in which fuzzy edge connectivity constitutes its hird type. The fuzzy edge connectivity and the membership values of the fuzzy edge onnectivity based on the chemical reactions of the variables of the system are defined and illustrated respectively. Fuzzy graph showing the relation between the variables are also depicted in a diagram to give a better picture of the relation between these variables Faculty of Science 2009-06 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/7970/1/SabariahBaharun2009_RelationshipBetweenFuzzyEdgeConnectivity.pdf Baharun, Sabariah and Ahmad, Tahir and Mohd. Yusof, Mohd. Rashid (2009) Relationship between fuzzy edge connectivity and the variables in clinical waste incineration process. Matematika, 25 (1). pp. 9-13. ISSN 0127-8274 http://www.fs.utm.my/matematika/content/view/227/31/
institution	Universiti Teknologi Malaysia
building	UTM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Malaysia
content_source	UTM Institutional Repository
url_provider	http://eprints.utm.my/
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Baharun, Sabariah Ahmad, Tahir Mohd. Yusof, Mohd. Rashid Relationship between fuzzy edge connectivity and the variables in clinical waste incineration process
description	Structured networks of interacting components are hallmarks of several complex systems and clinical waste incineration process is an example of such a system. Fuzzy graph theory provides important tools to capture various aspects of complexity, imprecision and fuzziness of the network structure of the incineration system as compared to the discrete description of relation of its crisp graph. This paper discusses he use of fuzzy edge connectivity in describing the relation between the variables in he incineration process. It begins with the definition of fuzzy graph that involves fve different types of graph fuzziness in which fuzzy edge connectivity constitutes its hird type. The fuzzy edge connectivity and the membership values of the fuzzy edge onnectivity based on the chemical reactions of the variables of the system are defined and illustrated respectively. Fuzzy graph showing the relation between the variables are also depicted in a diagram to give a better picture of the relation between these variables
format	Article
author	Baharun, Sabariah Ahmad, Tahir Mohd. Yusof, Mohd. Rashid
author_facet	Baharun, Sabariah Ahmad, Tahir Mohd. Yusof, Mohd. Rashid
author_sort	Baharun, Sabariah
title	Relationship between fuzzy edge connectivity and the variables in clinical waste incineration process
title_short	Relationship between fuzzy edge connectivity and the variables in clinical waste incineration process
title_full	Relationship between fuzzy edge connectivity and the variables in clinical waste incineration process
title_fullStr	Relationship between fuzzy edge connectivity and the variables in clinical waste incineration process
title_full_unstemmed	Relationship between fuzzy edge connectivity and the variables in clinical waste incineration process
title_sort	relationship between fuzzy edge connectivity and the variables in clinical waste incineration process
publisher	Faculty of Science
publishDate	2009
url	http://eprints.utm.my/id/eprint/7970/1/SabariahBaharun2009_RelationshipBetweenFuzzyEdgeConnectivity.pdf http://eprints.utm.my/id/eprint/7970/ http://www.fs.utm.my/matematika/content/view/227/31/
_version_	1643644890695860224
score	13.244404

Relationship between fuzzy edge connectivity and the variables in clinical waste incineration process

Similar Items