Multi-criteria decision analysis for sub-watersheds ranking via the PROMETHEE method

Vulević, Tijana; Dragović, Nada

doi:10.1016/j.iswcr.2017.01.003

Cited by 55 publications

(23 citation statements)

References 19 publications

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“…Version I is just a partial ranking, reason enough not to use it in our methodology, while version II is a full ranking. PROMETHEE-II is an extensively documented method, and the reader can find information about this method in [40,41].…”

Section: Intensity Of Importancementioning

confidence: 99%

Implementing a Novel Use of Multicriteria Decision Analysis to Select IIoT Platforms for Smart Manufacturing

et al. 2020

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Industry 4.0 is having a great impact in all smart efforts. This is not a single product but is composed of several technologies, one of them being Industrial Internet of Things (IIoT). Currently, there are very varied implementation options offered by several companies, and this imposes a new challenge to companies that want to implement IIoT in their processes. This challenge suggests using multi-criteria analysis to make a repeatable and justified decision, requiring a set of alternatives and criteria. This paper proposes a new methodology and comprehensive criteria to help organizations to take an educated decision by applying multi-criteria analysis. Here, we suggest a new original use of PROMETHEE-II with a full example from weight calculation up to IIoT platform selection, showing this methodology as an effective study for other organizations interested in selecting an IIoT platform. The criteria proposed stands out from previous work by including not only technical aspects, but economic and social criteria, providing a full view of the problem analyzed. A case of study was used to prove this proposed methodology and finds the minimum subset to reach the best possible ranking.

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Section: Intensity Of Importancementioning

confidence: 99%

Implementing a Novel Use of Multicriteria Decision Analysis to Select IIoT Platforms for Smart Manufacturing

et al. 2020

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“…The method attracts much attention. It is widely used in different fields, such as energy sources [28,29], sub-watersheds ranking [30], military airport location selection [25]. PROMETHEE has been extended to different versions, such as PROMETHEE II, PROMETHEE III, and PROMETHEE IV [31].…”

Section: Pltssmentioning

confidence: 99%

Combination of Probabilistic Linguistic Term Sets and PROMETHEE to Evaluate Meteorological Disaster Risk: Case Study of Southeastern China

Chen

2019

Sustainability

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The meteorological disasters have brought destructive damages all around the world in the past decades. These disasters have posed great threats to sustainable development. It is necessary to evaluate meteorological disaster risk to make corresponding emergency measures. The process is uncertain and fuzzy regarding the experts’ preferences. To deal with the problem, a novel evaluation approach based on PROMETHEE method and probabilistic linguistic term set (PLTS) is firstly proposed. First of all, PLTS is adopted to express preferences’ of experts. Then, the weights of criteria are obtained by the differential evolution (DE) algorithm, and steps of the method are proposed. Finally, the proposed method is used to evaluate the whole meteorological disaster risk in the southeast coastal areas of China and results have verified the effectiveness of the method. By comparing with some similar methods, results have demonstrated the advantages of the approach.

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“…• Vulevic and Dragovic (2017) [16], used the PROMETHEE II method ranking of nine sub-watersheds delineated in the Topciderska river watershed, Serbia;…”

Section: Related Literaturementioning

confidence: 99%

The Ranking of Districts in Ouagadougou by the Risk of Flood and Runoff Using the PROMETHEE

Yougbaré

2019

Eur. J. Pure Appl. Math.

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PROMETHEE methods are used for analyzing the risk of flood runoff in urban areas of Ouagadougou in Burkina Faso. 12 criteria are considered to calculate preference indices of the districts. We generated, on one hand, weights associated to these criteria taking into account hypotheses relatively to the importance or to the impact of each criterion evaluating the risk of flood runoff and on the other hand, we used the PROMETHEE methods to analyze this decision’s problem with its diverse criteria. The PROMETHEE I and PROMETHEE II are used ranking the districts in relation with the degree of risk of flood runoff. This ranking is permitted by the calculated preference indices. Our aim is, on one hand showing to the potential decision-maker the importance of such a multi-criteria analysis and on the other hand, of verifying the coherence of the hypotheses with the obtained weights.

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Multi-criteria decision analysis for sub-watersheds ranking via the PROMETHEE method

Cited by 55 publications

References 19 publications

Implementing a Novel Use of Multicriteria Decision Analysis to Select IIoT Platforms for Smart Manufacturing

Implementing a Novel Use of Multicriteria Decision Analysis to Select IIoT Platforms for Smart Manufacturing

Combination of Probabilistic Linguistic Term Sets and PROMETHEE to Evaluate Meteorological Disaster Risk: Case Study of Southeastern China

The Ranking of Districts in Ouagadougou by the Risk of Flood and Runoff Using the PROMETHEE

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