Dominance-based rough set approach for group decisions

Chakhar, Salem; Ishizaka, Alessio; Labib, Ashraf; Saad, Inès

doi:10.1016/j.ejor.2015.10.060

Cited by 84 publications

(33 citation statements)

References 57 publications

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“…The crucial concepts incorporated in the DRSA sorting method proposed by Sun and Ma (2015) are a dominance relation on the set of multiple sorting decisions (each provided by an individual DM) and a multi-agent conflict analysis framework. Furthermore, Chakhar and Saad (2012) and Chakhar et al (2016) illustrated how to combine individual approximations of class unions and derive collective decision rules that permit classification of all alternatives in a way consistent with the judgments of all DMs. These approaches measure the contribution of each expert to the collective assignment in terms of the individual quality of classification.…”

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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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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“…In [4] we introduced an aggregation algorithm, based on the majority principle and supporting the veto effect, allowing consensual decision rules to be inferred. A more advanced version of the aggregation algorithm of [4] is proposed in [3]. In [5,6], the authors use the Dempster-Shafer theory of evidence to combine individual rules provided by the DRSA.…”

Section: Introductionmentioning

confidence: 99%

Decision Rule Aggregation Approach to Support Group Decision Making

Saad

Chakhar

2020

Lecture Notes in Business Information Processing

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The Dominance-based Rough Set Approach (DRSA) is an innovative preference learning approach. It takes as input a set of objects (learning set) described with respect to a collection of condition and decision attributes. It generates a set of if-then decision rules. Initial versions of dominance based rough set approximation methods assume a single decision maker. Furthermore, the proposed extensions to group decision making mainly use an input oriented aggregation strategy, which requires a high level of agreement between the decision makers. In this paper, we propose an output oriented aggregation strategy to coherently combine different sets of decision rules obtained from different decision makers. The proposed aggregation algorithm is illustrated by using realworld data relative to a business school admission where two decision makers are involved. Results show that aggregation algorithm is able to reproduce the individual assignments of students with a very limited preferential information loss.

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“…DRSA has been extended to cope with knowledge acquisition in various types of ordered information systems. [12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29] For instance, by introducing fuzzy logic into the dominance relation, Greco et al 15 also proposed the dominance-based rough fuzzy model. To deal with the inconsistencies caused by errors in recording, measurement, and observation, Inuiguchi et al 17,18 proposed a variable-precision dominance relation based on rough set approach and studied the attribute reduction.…”

Section: Introductionmentioning

confidence: 99%

“…Yang et al 28 proposed a parameterized dominance-based rough set approach to the interval-valued information systems. Chakhar et al 29 proposed an approach, which was composed of three phases, to support group multi-criteria classification.…”

Section: Introductionmentioning

confidence: 99%

Tolerance Dominance Relation in Incomplete Ordered Decision Systems

Guan

Huang

Han

2017

Int. J. Intell. Syst.

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To deal with inconsistencies coming from consideration of criteria, that is, attributes with preference-ordered domains (scales), such as product quality, market share, and debt ratio, the dominance-based rough set approach has been proposed. However, it is not much useful for analyzing incomplete information. In this paper, we attempt to present research focusing on incomplete ordered decision systems where all attributes are considered as criteria and some objects' criterion values are unknown. Under the assumption that all unknown values are the "do not care" semantics, the concept of tolerance dominance relation is introduced. Then, the rough approximations induced by it are obtained. And their properties are investigated. Especially, the important properties of rough approximations, such as rough inclusion, complementarity, identity, and monotonicity, are preserved well-known in the presented methodology. Moreover, an example is employed to illustrate these results. We expand the potential applications of dominance-based rough set approach. C 2017 Wiley Periodicals, Inc.

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Dominance-based rough set approach for group decisions

Cited by 84 publications

References 57 publications

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

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

Decision Rule Aggregation Approach to Support Group Decision Making

Tolerance Dominance Relation in Incomplete Ordered Decision Systems

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