Multiple-criteria decision-making sorting methods: A survey

Carrillo, Pável Anselmo Álvarez; Ishizaka, Alessio; Martínez, Luis

doi:10.1016/j.eswa.2021.115368

Cited by 110 publications

(42 citation statements)

References 180 publications

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“…The outranking approach has the highest number of publications, representing 48% of the total publications [33]. This fact demonstrates that this approach is robust and mature for solving sorting problems.…”

Section: Types Of Methodsmentioning

confidence: 78%

Lessons Learnt from the Application of MCDA Sorting Methods to Pipe Network Rehabilitation Prioritization

Caetano

Carriço

Covas

2022

Water

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Most water distribution networks were built a few decades ago, showing symptoms of deterioration. Additionally, current renewal rates are insufficient to overcome pipe networks’ continuous ageing process. The development of methodologies for assisting the definition of pipe rehabilitation, including which pipes, and when and what financial amounts to allocate to this activity, are of the utmost importance. These methodologies typically have to attend to several points of view, for which multicriteria decision analysis (MCDA) techniques may be used. The current paper demonstrates and discusses the application of two MCDA techniques—the ELECTRE TRI-C and FlowSort—to a real water distribution network. Both techniques allowed assigning every single pipe to a predefined priority category, although the ELECTRE TRI-C proved to be more effective. These approaches imply that the planning of investment needs is carried out based on individual pipes, but these approaches are not consistent with the actual rehabilitation projects. A clustering technique called affinity propagation, together with cost functions, were applied to define and quantify homogeneous rehabilitation units. Even so, the methodology did not prove to be rigorous enough for the selection of pipes to be rehabilitated. On the other hand, it proved effective to estimate annual budgets for rehabilitation.

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Section: Types Of Methodsmentioning

confidence: 78%

Lessons Learnt from the Application of MCDA Sorting Methods to Pipe Network Rehabilitation Prioritization

Caetano

Carriço

Covas

2022

Water

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“…Equation (13) shows by how much an alternative 𝑎 outranks all the other alternatives. On the other hand, (14) expresses by how much an alternative 𝑎 is outranked by all the other alternatives.…”

Section: Prometheementioning

confidence: 99%

“…Despite the number of MCS methods available in the literature, the outranking approach, usually based on ÉLimination et Choix Traduisant la REalité (ELECTRE) and Preference Ranking Organization METHod for Enrichment Evaluation (PROMETHEE) gains the highest number of publications [13], [14], [15], [16]. Among the PROMETHEE-based MCS methods, the FlowSort [17] has been gaining the most attention, due to its most natural extension of the PROMETHEE for sorting problems [18].…”

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confidence: 99%

Optimal Planning of University Technology Transfer Measures With FDANP-F-FlowSort and an Extended Multiobjective PROMETHEE V

Tibay

Quiñones

et al. 2022

IEEE Access

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This work offers an integrated methodological framework for decision support in planning the implementation of measures that address the barriers of university technology transfer. The planning problem consists of two parts: (1) identifying the high priority measures, and (2) optimally implementing these measures over a specified planning horizon subject to resource constraints. Treated as a multiple criteria sorting problem under uncertainty, the high priority measures are determined via fuzzy DEMATEL and ANP for evaluating the barriers, and the fuzzy FlowSort for classifying the priority of the various measures. Then, an extended multi-objective extension of the PROMETHEE V is offered to determine the degree of implementation of the high priority measures over multiple periods. Demonstrated in an actual case study with 29 identified measures under 24 previously known barriers, findings reveal six high priority measures, which include designing a sustained partnership, engaging in joint research ventures, establishing partnerships from international financial institutions, streamlining objectives to full support of the technology readiness levels, establishing a holistic system approach towards technology readiness levels, and establishing agreements to have access to the industry laboratory facilities. The implementation plan, represented as a set of Pareto optimal solutions, is obtained through the AUGMECON algorithm for the 𝜀-constrained multiobjective linear programming formulation of the extended PROMETHEE V. A layer of sensitivity analysis was performed to test the robustness of the results to changes in the parameters. Finally, policy insights are provided to key decision-makers for advancing UTT.

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“…Many complex problems benefit from using MCDM, especially those focusing on selecting the best alternative. Choosing the best alternative considers many aspects of a problem; therefore, many real-life problems involve a group of decision-makers [9]. MCDM concept theory is based on the understanding that two reference points are used, i.e., one being a positive ideal solution (PIS) while the other is a negative one, with both being used as benchmarks [10].…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Fuzzy AHP/VIKOR Approach to Funding Strategy Selection for Advanced Prosthetic and Orthotic Medical Devices in Low-Income Countries: A Case of Pakistan

Ahmed

Feng

Abdul

et al. 2022

Mathematical Problems in Engineering

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In the context of advanced prosthetic and orthotic medical devices, funding is a major challenge, especially in low-income countries. This research aims to investigate the best funding solution for such medical devices to offer disabled people a better quality of life and improve their health and economic situation. This is the first time such methods are being used in a study based on related research involving a fuzzy analytic hierarchy process (FAHP)/VIekriterijumsko KOmpromisno Rangiranje (VIKOR) model to find the best funding source. A survey questionnaire created by the author and completed by Pakistan subject experts was used to analyze data via a weightage value ranking system as an assessment tool. Prioritization of funding alternatives was based on main criteria and subcriteria. Limitations include sample number of study participants, amount of data collected, number of models used, and time constraints. Potential funding sources were ranked based on a VIKOR weightage value model using a hybrid decision-making process that showed results as “private insurance” having a weightage value of (0.1956) as being the best funding source since they are having the minimum weightage and then next from best to least they were “need-based” with a weightage value of (0.2510), “self-pay” with a weightage value of (0.7970), and finally “government-based” having a weightage value of (0.9636). Implications of this study conclude that the proposed model efficiently finds the best funding sources for advanced prosthetic and orthotic (P&O) medical devices in low-income countries. Executing this model in low-income countries such as Pakistan can help solve P&O medical device coverage challenges and offer disabled people better opportunities to work and contribute to their quality of life and economy.

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Multiple-criteria decision-making sorting methods: A survey

Cited by 110 publications

References 180 publications

Lessons Learnt from the Application of MCDA Sorting Methods to Pipe Network Rehabilitation Prioritization

Lessons Learnt from the Application of MCDA Sorting Methods to Pipe Network Rehabilitation Prioritization

Optimal Planning of University Technology Transfer Measures With FDANP-F-FlowSort and an Extended Multiobjective PROMETHEE V

A Hybrid Fuzzy AHP/VIKOR Approach to Funding Strategy Selection for Advanced Prosthetic and Orthotic Medical Devices in Low-Income Countries: A Case of Pakistan

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