An ordinal sorting method for group decision-making

Jabeur, Khaled; Martel, Jean‐Marc

doi:10.1016/j.ejor.2006.05.032

Cited by 46 publications

(14 citation statements)

References 15 publications

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“…In the literature, several exploitation procedures can be found. One can quote the works of Roy [18], Colson [4] and Jabeur and Martel [9] for the choice problematic; the works of Roy [19], Brans and Vincke [3], Colson [4] and Jabeur and Martel [10] for the ranking problematic; and the works of Yu [26] and Jabeur and Martel [11] for the sorting problematic.…”

Section: Aggregating Local Preference Relationsmentioning

confidence: 99%

Multiple criteria aggregation procedure for mixed evaluations

Amor

Jabeur

Martel

2007

European Journal of Operational Research

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Section: Aggregating Local Preference Relationsmentioning

confidence: 99%

Multiple criteria aggregation procedure for mixed evaluations

Amor

Jabeur

Martel

2007

European Journal of Operational Research

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“…Furthermore, Jabeur and Martel (2007) proposed a framework, which derives a collective sorting decision at the output level from the individual non-robust classifications by additionally accounting for the relative importance of group members. Then, Morais et al (2014) used a stochastic variant of Electre TRI-B, called SMAA-TRI, to consider uncertainty in criteria weights and to derive for each DM the shares of the relevant parameter vectors that assign a given alternative to a certain category.…”

Section: Review Of Multiple Criteria Sorting Group Decision Methodsmentioning

confidence: 99%

Multiple Criteria Assessment of Insulating Materials with a Group Decision Framework Incorporating Outranking Preference Model and Characteristic Class Profiles

et al. 2017

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We present a group decision making framework for evaluating sustainability of the insulating materials. We tested thirteen materials on a model that was applied to retrofit a traditional rural building through roof's insulation. To evaluate the materials from the socio-economic and environmental viewpoints, we combined life cycle costing and assessment with an adaptive comfort evaluation. In this way, the performances of each coating material were measured in terms of an incurred reduction of costs and consumption of resources, maintenance of the cultural and historic significance of buildings, and a guaranteed indoor thermal comfort. The comprehensive assessment of the materials involved their assignment to one of the three preferenceordered sustainability classes. For this purpose, we used a multiple criteria decision analysis approach that accounted for preferences of a few tens of rural buildings' owners. The proposed methodological framework incorporated an outranking-based preference model to compare the insulating materials with the characteristic class profiles while using the weights derived from the revised Simos procedure. The initial sorting recommendation for each material was validated against the outcomes of robustness analysis that combined the preferences of individual stakeholders either at the output or at the input level. The analysis revealed that the most favorable materials in terms of their overall sustainability were glass wool, hemp fibres, kenaf fibres, polystyrene foam, polyurethane, and rock wool. Electronic supplementary materialThe online version of this article (https://doi.org/10.1007/s10726-017-9549-3) contains supplementary material, which is available to authorized users. B Miłosz Kadziński

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“…These approaches can be classified into the following four categories: (1) the methods inspired by the outranking relations (e.g., Almeida- Dias, Figueira, & Roy, 2010, 2012; Janssen iteratively reach an agreement on how to sort exemplary alternatives. Jabeur and Martel (2007) proposed a sorting method that determines at least one collective assignment from the individual preference systems. Bregar, Györkös, and Jurič (2008) implemented an active iterative mechanism for group consensus seeking that could automatically unify the opinions of the DMs.…”

Section: Introductionmentioning

confidence: 99%