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...

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Main Authors: Baharun, Sabariah, Ahmad, Tahir, Mohd. Yusof, Mohd. Rashid
Format: Article
Language:English
Published: Faculty of Science 2009
Subjects:
Online Access:http://eprints.utm.my/7970/
http://eprints.utm.my/7970/1/SabariahBaharun2009_RelationshipBetweenFuzzyEdgeConnectivity.pdf
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author Baharun, Sabariah
Ahmad, Tahir
Mohd. Yusof, Mohd. Rashid
author_facet Baharun, Sabariah
Ahmad, Tahir
Mohd. Yusof, Mohd. Rashid
author_sort Baharun, Sabariah
building UTeM Institutional Repository
collection Online Access
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
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spelling utm-79702010-09-02T09:00:46Z http://eprints.utm.my/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/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/
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
title 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_short 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
topic TK Electrical engineering. Electronics Nuclear engineering
url http://eprints.utm.my/7970/
http://eprints.utm.my/7970/
http://eprints.utm.my/7970/1/SabariahBaharun2009_RelationshipBetweenFuzzyEdgeConnectivity.pdf