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

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dc.contributor.author Zhang, Guangquan en_US
dc.contributor.author Lu, Jie en_US
dc.contributor.editor en_US
dc.date.accessioned 2010-05-28T09:46:22Z
dc.date.available 2010-05-28T09:46:22Z
dc.date.issued 2009 en_US
dc.identifier 2008007825 en_US
dc.identifier.citation Zhang Guangquan and Lu Jie 2009, 'A linguistic intelligent user guide for method selection in multi-objective decision support systems', Elsevier Science Inc, vol. 179, no. 14, pp. 2299-2308. en_US
dc.identifier.issn 0020-0255 en_US
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. en_US
dc.language en_US
dc.publisher Elsevier Science Inc en_US
dc.relation.isbasedon http://dx.doi.org/10.1016/j.ins.2009.01.043 en_US
dc.title A linguistic intelligent user guide for method selection in multi-objective decision support systems en_US
dc.parent Information Sciences en_US
dc.journal.volume 179 en_US
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 080600 en_US
dc.personcode 020014 en_US
dc.personcode 001038 en_US
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 Linguistic terms; Fuzzy sets; Decision support systems; Multi-objective decision-making; Fuzzy matching; Intelligent user guide en_US
dc.staffid en_US
dc.staffid 001038 en_US


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