A linguistic intelligent user guide for method selection in multi-objective decision support systems

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dc.contributor.author Zhang, G
dc.contributor.author Lu, J
dc.date.accessioned 2010-05-28T09:46:22Z
dc.date.issued 2009-06-27
dc.identifier.citation Information Sciences, 2009, 179 (14), pp. 2299 - 2308
dc.identifier.issn 0020-0255
dc.identifier.other C1 en_US
dc.identifier.uri http://hdl.handle.net/10453/8921
dc.description.abstract Some multi-objective decision-making (MODM) methods are more effective than others for particular decision problems and/or particular decision makers. It is therefore necessary to provide a set of MODM methods in a multi-objective decision support system (MODSS) to support a wide range of problem solving. However, it is always difficult for decision makers to select the most suitable method for individual cases because MODM methods involve a deep knowledge of mathematics. To handle this difficulty, this study develops a MODM method selection guide supported by a fuzzy matching optimization method. In this paper, we first present the modelling process for the knowledge of characteristics of the main MODM methods. We then present related matching techniques between the characteristics of a real-world decision-making situation and a set of predefined situation descriptions (characteristics of a MODM method) where the elements of the two sets may be expressed by linguistic terms. Based on this process, a fuzzy matching optimization-based MODM method selection approach is proposed. The approach applies general fuzzy numbers, fuzzy distance, fuzzy multi-criteria decision-making concepts, and rule-based inference techniques to recommend the most suitable method from a MODM method-base. The approach is adopted in a linguistic intelligent user guide within a MODSS. Experiments have shown that the development of the linguistic intelligent user guide can increase the ability of the MODSS to support decision makers in arriving at a satisfactory solution in a most effective way. © 2009 Elsevier Inc. All rights reserved.
dc.language eng
dc.relation.isbasedon 10.1016/j.ins.2009.01.043
dc.title A linguistic intelligent user guide for method selection in multi-objective decision support systems
dc.type Journal Article
dc.parent Information Sciences
dc.journal.volume 14
dc.journal.volume 179
dc.journal.number 14 en_US
dc.publocation New York, USA en_US
dc.identifier.startpage 2299 en_US
dc.identifier.endpage 2308 en_US
dc.cauo.name FEIT.School of Systems, Management and Leadership en_US
dc.conference Verified OK en_US
dc.for 0806 Information Systems
dc.personcode 001038
dc.personcode 020014
dc.percentage 100 en_US
dc.classification.name Information Systems en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity ISI:000266646900002 en_US
dc.description.keywords Decision support systems
dc.description.keywords Fuzzy matching
dc.description.keywords Fuzzy sets
dc.description.keywords Intelligent user guide
dc.description.keywords Linguistic terms
dc.description.keywords Multi-objective decision-making
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group /University of Technology Sydney/Strength - Quantum Computation and Intelligent Systems
utslib.copyright.status Closed Access
utslib.copyright.date 2015-04-15 12:17:09.805752+10
pubs.consider-herdc true


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