Evaluating large, high-technology project portfolios using a novel interval-valued Pythagorean fuzzy set framework: An automated crane project case study

Mohagheghi, V; Mousavi, SM; Mojtahedi, M; Newton, S

Evaluating large, high-technology project portfolios using a novel interval-valued Pythagorean fuzzy set framework: An automated crane project case study

Mohagheghi, V Mousavi, SM Mojtahedi, M Newton, S

Permalink

Publisher:: Elsevier
Publication Type:: Journal Article
Citation:: Expert Systems with Applications, 2020, 162, pp. 1-17
Issue Date:: 2020-12-30

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

The embargo period expires on 30 Dec 2022

Adobe PDF

Download Accepted ManuscriptAdobe PDF (921.9 kB)

View on publisher's site

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Mohagheghi, V
dc.contributor.author	Mousavi, SM
dc.contributor.author	Mojtahedi, M
dc.contributor.author	Newton, S https://orcid.org/0000-0001-8334-1916
dc.date.accessioned	2021-02-17T02:43:20Z
dc.date.available	2021-02-17T02:43:20Z
dc.date.issued	2020-12-30
dc.identifier.citation	Expert Systems with Applications, 2020, 162, pp. 1-17
dc.identifier.issn	0957-4174
dc.identifier.issn	1873-6793
dc.identifier.uri	http://hdl.handle.net/10453/146168
dc.description.abstract	© 2019 Elsevier Ltd The contemporary organization relies increasingly on developing large, high technology projects in order to gain local and global competitive advantage. Uncertainty and the complexity of project evaluation requires improved and tailored decision making support systems. A new framework for high technology project portfolio evaluation is introduced. Novel development of an interval-valued Pythagorean fuzzy set (IVPFS) approach is shown to accommodate degrees of membership, non-membership and hesitancy in the evaluation process. Developed methods of linear assignment, IVPFS ranking, IVPFS knowledge index, and IVPFS comparison provide a new framework for group evaluation based on a weighting for each decision expert. The framework is developed as a last aggregation which avoids information loss and introduces a new aggregation process. A novel multi-objective model is then introduced to address project portfolio selection while optimizing the value of the portfolio in terms of resilience (the risk of disruption and delays) and skill utilization (assignment of human resources). The applicability of this framework is demonstrated through a case study in high technology portfolio evaluation. The case study shows that the presented framework can be applied as the core to a high technology evaluation decision support system.
dc.language	en
dc.publisher	Elsevier
dc.relation.ispartof	Expert Systems with Applications
dc.relation.isbasedon	10.1016/j.eswa.2019.113007
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.subject	01 Mathematical Sciences, 08 Information and Computing Sciences, 09 Engineering
dc.subject.classification	Artificial Intelligence & Image Processing
dc.title	Evaluating large, high-technology project portfolios using a novel interval-valued Pythagorean fuzzy set framework: An automated crane project case study
dc.type	Journal Article
utslib.citation.volume	162
utslib.for	01 Mathematical Sciences
utslib.for	08 Information and Computing Sciences
utslib.for	09 Engineering
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
utslib.copyright.status	open_access	*
pubs.consider-herdc	true
utslib.copyright.embargo	2022-12-30T00:00:00+1000Z
dc.date.updated	2021-02-17T02:43:16Z
pubs.publication-status	Published
pubs.volume	162

Abstract:

© 2019 Elsevier Ltd The contemporary organization relies increasingly on developing large, high technology projects in order to gain local and global competitive advantage. Uncertainty and the complexity of project evaluation requires improved and tailored decision making support systems. A new framework for high technology project portfolio evaluation is introduced. Novel development of an interval-valued Pythagorean fuzzy set (IVPFS) approach is shown to accommodate degrees of membership, non-membership and hesitancy in the evaluation process. Developed methods of linear assignment, IVPFS ranking, IVPFS knowledge index, and IVPFS comparison provide a new framework for group evaluation based on a weighting for each decision expert. The framework is developed as a last aggregation which avoids information loss and introduces a new aggregation process. A novel multi-objective model is then introduced to address project portfolio selection while optimizing the value of the portfolio in terms of resilience (the risk of disruption and delays) and skill utilization (assignment of human resources). The applicability of this framework is demonstrated through a case study in high technology portfolio evaluation. The case study shows that the presented framework can be applied as the core to a high technology evaluation decision support system.

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

http://hdl.handle.net/10453/146168