2015
DOI: 10.1016/j.ins.2014.08.027
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Multi-criteria improvement of complex systems

Abstract: Designing the way a complex system should evolve to better match customers' requirements provides an interesting class of applications for muticriteria techniques. The models required to support the improvement design of a complex system must include both preference models and system behavioral models. A MAUT model captures decisions related to design preferences, whereas a fuzzy representation is proposed to model relationships between system parameters and the fulfillment of system assessment criteria. The w… Show more

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Cited by 24 publications
(28 citation statements)
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“…The ordinal setting considered in this section is close to the one considered in [7] [8] [10]. Let us consider two ordinal scales…”
Section: The Action-objectives Relationshipmentioning
confidence: 99%
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“…The ordinal setting considered in this section is close to the one considered in [7] [8] [10]. Let us consider two ordinal scales…”
Section: The Action-objectives Relationshipmentioning
confidence: 99%
“…When the agents share all their knowledge before collective action, the problem can be stated as a multi-objective optimization problem [7]. When the number of actions is very large the resolution of this optimization problem clearly raises a combinatorial problem [10]. In the case of cooperative agents, where only partial knowledge is shared a debate model replaces the multi-objective optimization problem [8].…”
Section: Introductionmentioning
confidence: 99%
“…Recently, some works in MCDA exploit the preferences model, in particular those using Choquet integral, to estimate the expected gain when improving a product/system on a set of criteria [7] [8] [9]. The authors associate to any coalition of criteria an index named worth index that measures for any considered state of the product/system, the mean expected gain of all the possible improvements.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, some works exploit the preference model of the multiple criteria decision framework, in particular the Choquet integral, to estimate the expected improvements of an alternative. The authors in [9] [10] [11] associate to any coalition of criteria an index named worth index that measures for any alternative, the mean of all the possible expected improvements w.r.t a subset of criteria. These models assume that all the improvements are equiprobable whatever their magnitude.…”
Section: Introductionmentioning
confidence: 99%