Evaluating fuzzy earned value indices and estimates by applying alpha cuts

Moslemi Naeni, L; Salehipour, A

Evaluating fuzzy earned value indices and estimates by applying alpha cuts

Moslemi Naeni, L

Salehipour, A

Permalink

Publication Type:: Journal Article
Citation:: Expert Systems with Applications, 2011, 38 (7), pp. 8193 - 8198
Issue Date:: 2011-07-01

Closed Access

	Filename	Description	Size
	fuz.pdf	Published Version	346.39 kB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Moslemi Naeni, L https://orcid.org/0000-0002-3360-7680	en_US
dc.contributor.author	Salehipour, A https://orcid.org/0000-0003-4866-1396	en_US
dc.date.issued	2011-07-01	en_US
dc.identifier.citation	Expert Systems with Applications, 2011, 38 (7), pp. 8193 - 8198	en_US
dc.identifier.issn	0957-4174	en_US
dc.identifier.uri	http://hdl.handle.net/10453/116540
dc.description.abstract	The earned value technique is an essential technique in analyzing and controlling the performance of a project by providing a more accurate measurement of both project performance and project progress. This paper presents an approach to deal with fuzzy earned value indices. This includes developing new indices under fuzzy circumstances and evaluating them using alpha cut method. The model improves the applicability of the earned value techniques under real-life and uncertain conditions. A small example illustrates how the new model can be implemented in reality. © 2011 Elsevier Ltd. All rights reserved.	en_US
dc.relation.ispartof	Expert Systems with Applications	en_US
dc.relation.isbasedon	10.1016/j.eswa.2010.12.165	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	Evaluating fuzzy earned value indices and estimates by applying alpha cuts	en_US
dc.type	Journal Article
utslib.citation.volume	7	en_US
utslib.citation.volume	38	en_US
utslib.for	089999 Information and Computing Sciences not elsewhere classified	en_US
utslib.for	010299 Applied Mathematics not elsewhere classified	en_US
utslib.for	01 Mathematical Sciences	en_US
utslib.for	08 Information and Computing Sciences	en_US
utslib.for	09 Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Design, Architecture and Building
pubs.organisational-group	/University of Technology Sydney/Faculty of Design, Architecture and Building/School of Built Environment
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Mathematical and Physical Sciences
utslib.copyright.status	closed_access
pubs.issue	7	en_US
pubs.publication-status	Published	en_US
pubs.volume	38	en_US

Abstract:

The earned value technique is an essential technique in analyzing and controlling the performance of a project by providing a more accurate measurement of both project performance and project progress. This paper presents an approach to deal with fuzzy earned value indices. This includes developing new indices under fuzzy circumstances and evaluating them using alpha cut method. The model improves the applicability of the earned value techniques under real-life and uncertain conditions. A small example illustrates how the new model can be implemented in reality. © 2011 Elsevier Ltd. All rights reserved.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/116540