Supporting the multi-criteria decision aiding process: R and the MCDA package

Bigaret, Sébastien; Hodgett, Richard; Meyer, Patrick; Миронова, Татьяна Львовна; Olteanu, Alexandru Liviu

doi:10.1007/s40070-017-0064-1

Cited by 35 publications

(20 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…[10]). Moreover, the proposed method has been implemented in R as part of the library of MCDA methods proposed by [4], and is therefore available for use.…”

Section: Discussionmentioning

confidence: 99%

Preference elicitation for a ranking method based on multiple reference profiles

et al. 2021

Self Cite

View full text Add to dashboard Cite

Multiple Criteria Decision Aid (MCDA) metholodolgies support decision makers (DM) facing decisions involving conflicting objectives. DM's preferences should be captured to provide meaningful recommendations. Preference elicitation aims at incorporating DM's preferences in decision models. We propose preference elicitation tool for a new ranking model based on reference points (S-RMP). Our methodology infers an S-RMP model from a list of pairwise comparisons provided by the DM. The inference algorithm makes use of a Mixed Integer mathematical programming formulation. We prove the applicability by performing extensive numerical experiments on datasets whose size corresponding to real-world problem.

show abstract

“…[10]). Moreover, the proposed method has been implemented in R as part of the library of MCDA methods proposed by [4], and is therefore available for use.…”

Section: Discussionmentioning

confidence: 99%

Preference elicitation for a ranking method based on multiple reference profiles

et al. 2021

Self Cite

View full text Add to dashboard Cite

show abstract

“…We used PROMETHEE (MCDA package; Meyer et al, 2021) as the outranking method. PROMETHEE I and II functions (Bigaret et al, 2017; Meyer et al, 2021) were used to obtain the partial preorder and the complete order, respectively (Brans et al, 1986), on the basis of the criteria weights defined by AHP (Appendix A).…”

Section: Methodsmentioning

confidence: 99%

The native - exotic plant choice in green roof design: using a multicriteria decision framework to foster urban biodiversity

Calviño

Tavella

Beccacece

et al. 2022

Preprint

View full text Add to dashboard Cite

Green roofs are considered key elements of the urban green infrastructure since they offer several environmental benefits, including habitat provision for arthropods. To achieve these benefits and ensure green roof success, an appropriate plant selection is an important step in the design of these infrastructures, especially where green roof technology is emerging like in South American cities. So far, decisions of using native or exotic plant species in green roofs had never been evaluated taking into account the plant potential to foster beneficial arthropods. By applying an integrative multicriteria decision framework that combined the habitat template hypothesis with the potential of plants to attract floral visitors and natural enemies, we obtained a ranked set of candidate native and exotic plant species. Among the best-ranked candidate species, we further compared the performance of six native and six exotic species in 30 experimental green roofs installed in Cordoba city, Argentina. To evaluate plant success, the occurrence and cover of each species were recorded one year after establishment under two management conditions: regular watering and weeding of spontaneous plants, and no management (15 roofs each). All selected species increased their vegetative cover one year after establishment. More interestingly, native plants had an advantage over exotic plant species as they exhibited a significantly higher occurrence and a slightly higher cover with no management than exotics. Native annuals were able to reseed the following season even in the absence of management, thus highlighting the relative importance of lifespan as a useful plant trait for future studies in green roof design. Given that green roofs are one of the possible solutions to ameliorate the negative effects of urban habitat loss on arthropod diversity, the development of an integrative multicriteria decision framework that takes into account the potential of native and exotic plant species for promoting beneficial arthropods would give a new twist in plant selection processes for green roofs.

show abstract

“…The problem structure of MCDM is treated as a combination of problems and methods (Keeney, 1982;Cinelli et al, 2014). From this perspective, the whole MCDM process can be divided into four stages, namely problem structuring, problem formulating, method selection and evaluation, and decision recommendation (Bouyssou et al, 2006;Tsoukiàs, 2007;Bigaret et al, 2017).…”

Section: Concept and General Structure Of Mcdmmentioning

confidence: 99%

Application of Multiple Criteria Decision Making Methods in Construction: A Systematic Literature Review

Zhu

Meng

Zhang

2021

Journal of Civil Engineering and Management

View full text Add to dashboard Cite

Decision making is a key to business or project success in any sectors, especially in construction that requires handling numerous information and knowledge. Multiple criteria decision making (MCDM) is an important tool for decision problem solving due to simultaneous consideration of multiple criteria and objectives. Various MCDM methods are continually emerging and tend to be increasingly adopted to address the real-world construction problems. Therefore, it is urged to systematically review the existing body of literature to demonstrate the evolution of the mainstream MCDM methods in general and their application status in construction. A total of 530 construction articles published from 2000 to 2019 are selected in this study and then categorized into seven major application areas using a novel systematic literature review (SLR) methodology. The bibliometric analysis is then used to describe the research trend. Subsequently, the qualitative discussion by themes is conducted to analyze the application of MCDM methods in construction. A further discussion makes it possible to identify the potential challenges (e.g. applicability, robustness, postpone effect, dynamic and prospective challenges and scale problem) to existing research. It also contributes to the recommendation of future directions for the development of MCDM methods that would benefit construction research and practice.

show abstract

Supporting the multi-criteria decision aiding process: R and the MCDA package

Cited by 35 publications

References 30 publications

Preference elicitation for a ranking method based on multiple reference profiles

Preference elicitation for a ranking method based on multiple reference profiles

The native - exotic plant choice in green roof design: using a multicriteria decision framework to foster urban biodiversity

Application of Multiple Criteria Decision Making Methods in Construction: A Systematic Literature Review

Contact Info

Product

Resources

About