A Decision Rule Aggregation Approach to Multiple Criteria-Multiple Participant Sorting

Chen, Y.; Kilgour, D. Marc; Hipel, Keith W.

doi:10.1007/s10726-011-9246-6

Cited by 34 publications

(18 citation statements)

References 25 publications

(18 reference statements)

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“…First, Greco et al (2006) introduced some concepts (e.g., multi-union and mega-union) related to dominance with respect to minimal profiles of evaluations provided by different DMs. Then, Chen et al (2012) proposed to aggregate the recommendations suggested by individual linguistic decision rules into an overall assignment be means of a Dempster-Shafer Theory. 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.…”

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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“…The final decision on a change in land use should take into account a number of social, economic and ecological factors, for the analysis of which it is necessary to apply multivariant analysis of the justifiability of the change in the area's function. The basic principles of decision theory in land use planning have been successfully used by Polish and foreign research centers, with examples found, among others, in the following recent publications: BOWMAN et al (2012);CHEN et al (2012);FAN et al (2006); KIRAN, JOSHI (2012); FRIEDMANN (2011);MINNERY et al (2012).…”

Section: Urban Space Optimizationmentioning

confidence: 99%

Multi-Criteria Land use Function Optimization

Biłozor

Renigier‐Biłozor

Furman

2015

Real Estate Management and Valuation

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Space as a public good should be used in a way that is consistent with recognized social, cultural, aesthetic, economical and ecological values. The optimization of space is associated with its limitations, thus it should be subjected to rational management. Optimizing the function of city space involves identifying the most mismatched features of the area and a proposal to convert them into functions best suited with respect to the existing natural and anthropogenic, social, economic and ecological conditions. The selection criteria of the optimal use of land will be presented, as well as the parameters characterizing them and the possibility of using chosen multi-criteria methods of analysis. Social, economic and ecological criteria adopted for the analysis are the basis for the sustainable development of an area and coincide with factors which ought to be taken into account during the development of land-planning documents.

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“…The conventional DRSA assumes a single decision maker while several real-world decision problems need to take into account the presence of multiple decision makers. Different group decision making extensions to DRSA have been proposed in the literature, including [1- 6,8,11,12].…”

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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A Decision Rule Aggregation Approach to Multiple Criteria-Multiple Participant Sorting

Cited by 34 publications

References 25 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

Multi-Criteria Land use Function Optimization

Decision Rule Aggregation Approach to Support Group Decision Making

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