Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/8667
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, KC | - |
dc.contributor.author | Lee, N | - |
dc.contributor.author | Lee, H | - |
dc.date.accessioned | 2014-07-14T15:54:05Z | - |
dc.date.available | 2014-07-14T15:54:05Z | - |
dc.date.issued | 2012 | - |
dc.identifier.citation | Technological Forecasting and Social Change, 79(3), 469 - 484, 2012 | en_US |
dc.identifier.issn | 0040-1625 | - |
dc.identifier.uri | http://www.sciencedirect.com/science/article/pii/S0040162511001715 | en |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/8667 | - |
dc.description | This is the post-print version of the final paper published in Technological Forecasting and Social Change. The published article is available from the link below. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. Copyright @ 2011 Elsevier B.V. | en_US |
dc.description.abstract | Unstructured group decision-making is burdened with several central difficulties: unifying the knowledge of multiple experts in an unbiased manner and computational inefficiencies. In addition, a proper means of storing such unified knowledge for later use has not yet been established. Storage difficulties stem from of the integration of the logic underlying multiple experts' decision-making processes and the structured quantification of the impact of each opinion on the final product. To address these difficulties, this paper proposes a novel approach called the multiple agent-based knowledge integration mechanism (MAKIM), in which a fuzzy cognitive map (FCM) is used as a knowledge representation and storage vehicle. In this approach, we use particle swarm optimization (PSO) to adjust causal relationships and causality coefficients from the perspective of global optimization. Once an optimized FCM is constructed an agent based model (ABM) is applied to the inference of the FCM to solve real world problem. The final aggregate knowledge is stored in FCM form and is used to produce proper inference results for other target problems. To test the validity of our approach, we applied MAKIM to a real-world group decision-making problem, an IT project risk assessment, and found MAKIM to be statistically robust. | en_US |
dc.description.sponsorship | Ministry of Education, Science and Technology (Korea) | en_US |
dc.language.iso | en | en_US |
dc.publisher | Elsevier | en_US |
dc.subject | Agent-based model (ABM) | en_US |
dc.subject | Particle swarm optimization (PSO) | en_US |
dc.subject | Fuzzy cognitive map (FCM) | en_US |
dc.subject | Expert knowledge | en_US |
dc.subject | Knowledge integration | en_US |
dc.subject | IT project risk assessment | en_US |
dc.title | Multi-agent knowledge integration mechanism using particle swarm optimization | en_US |
dc.type | Article | en_US |
dc.identifier.doi | http://dx.doi.org/10.1016/j.techfore.2011.08.004 | - |
pubs.organisational-data | /Brunel | - |
pubs.organisational-data | /Brunel/Brunel Active Staff | - |
pubs.organisational-data | /Brunel/Brunel Active Staff TxP | - |
pubs.organisational-data | /Brunel/Brunel Active Staff TxP/College of Business, Arts and Social Sciences | - |
pubs.organisational-data | /Brunel/Brunel Active Staff TxP/College of Business, Arts and Social Sciences/Brunel Business School | - |
pubs.organisational-data | /Brunel/Brunel Active Staff/Brunel Business School | - |
pubs.organisational-data | /Brunel/Brunel Active Staff/Brunel Business School/Business | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups/Brunel Business School - URCs and Groups | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups/Brunel Business School - URCs and Groups/Centre for Research into Entrepreneurship, International Business and Innovation in Emerging Markets | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups/School of Arts - URCs and Groups | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups/School of Arts - URCs and Groups/Brunel Centre for Contemporary Writing | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups/Brunel Institute for Ageing Studies | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups/Brunel Institute of Cancer Genetics and Pharmacogenomics | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups/Centre for Systems and Synthetic Biology | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups/School of Information Systems, Computing and Mathematics - URCs and Groups | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups/School of Information Systems, Computing and Mathematics - URCs and Groups/Multidisclipary Assessment of Technology Centre for Healthcare (MATCH) | - |
Appears in Collections: | Business and Management Brunel Business School Research Papers |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Fulltext.pdf | 660.25 kB | Adobe PDF | View/Open |
Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.