Developing fuzzy AHP system to evaluate rehabilitation alternatives of asbestos industrial complex

Damigos, D; Kaliampakos, D

dc.contributor.author	Damigos, D	en
dc.contributor.author	Kaliampakos, D	en
dc.date.accessioned	2014-03-01T01:23:59Z
dc.date.available	2014-03-01T01:23:59Z
dc.date.issued	2006	en
dc.identifier.issn	03719553	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/17150
dc.subject	Asbestos	en
dc.subject	Decision analysis	en
dc.subject	Fuzzy analytic hierarchy process	en
dc.subject	Remediation	en
dc.subject.other	Asbestos	en
dc.subject.other	Data reduction	en
dc.subject.other	Environmental impact	en
dc.subject.other	Fuzzy sets	en
dc.subject.other	Health risks	en
dc.subject.other	Analytic hierarchy process (AHP)	en
dc.subject.other	Data collection	en
dc.subject.other	Public health	en
dc.subject.other	Stakeholders	en
dc.subject.other	Hierarchical systems	en
dc.title	Developing fuzzy AHP system to evaluate rehabilitation alternatives of asbestos industrial complex	en
heal.type	journalArticle	en
heal.identifier.primary	10.1179/174328506X109059	en
heal.identifier.secondary	http://dx.doi.org/10.1179/174328506X109059	en
heal.publicationDate	2006	en
heal.abstract	Owing to serious health and financial impacts, asbestos contaminated land must be treated in order to protect public health, welfare and the environment. The site characterisation and field investigations as well as other engineering data are typically required in order to assess the risks and to design the remedial actions. Nevertheless, data collection and analysis is a time consuming and usually expensive task. Furthermore, the role of stakeholders in recent years becomes critical in many cases and it should be taken into consideration when setting remedial action objectives. For the above reasons, considerable interest has been focused on the use of evaluation systems for the assessment of remediation alternatives, minimising data requirements, incorporating multiple criteria and competing objectives as well. The present study focuses on the development of a methodology for the preliminary selection of the most appropriate solution for remedying a former asbestos milling plant, based on the principles of fuzzy analytic hierarchy process (AHP). The outcomes indicate that the developed methodology results in a time saving and reasonable cost process that may contribute to a sound prioritisation of the alternatives. © 2006 Institute of Materials, Minerals and Mining and The AusIMM.	en
heal.journalName	Transactions of the Institutions of Mining and Metallurgy, Section C: Mineral Processing and Extractive Metallurgy	en
dc.identifier.doi	10.1179/174328506X109059	en
dc.identifier.volume	115	en
dc.identifier.issue	3	en
dc.identifier.spage	139	en
dc.identifier.epage	144	en