Application of the ELECTRE III Method at the Moroccan Rural Electrification Program

Mazouri, Fatima Zahra El; Abounaima, Mohammed Chaouki; Zenkouar, Khalid; Alaoui, A. El

doi:10.11591/ijece.v8i5.pp3285-3295

Cited by 7 publications

(9 citation statements)

References 13 publications

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“…However, the version II of the ELECTRE methods, used in this work, does not take into account this threshold of indifference and the preference threshold. In future work, it will be planned to use the version III of the ELECTRE methods more complete than the version II and which deploys three relations: indifference, weak preference and strict preference [43].…”

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confidence: 99%

Data mining combined to the multicriteria decision analysis for the improvement of road safety: case of France

2019

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Introduction: The problem studied in this paper is the road insecurity, which is manifested by the big number of injuries and deaths recorded annually around the world. These victims of road accidents worry the whole community, hence the duty and the need to find solutions for reducing the number of victims and material damage. The overall purpose of this case study is to treat the problem of corporeal accidents known in France. Case description: The case study presented in this paper is intended to help decisionmakers to find and understand the all significant relationships and correlations that exist between the conditions that led to these corporeal accidents. In fact, the two French ministries of interior and transport have jointly created a unique database on corporeal accidents, called BAAC "Accident Analysis Bulletin Corporal", with the aim of allowing different exploitations of this database by different concerned administrations and research organizations. Our intervention consists to adopt a hybrid approach based on data mining techniques combined to the multicriteria decision methods. This approach allows to extract the most relevant association rules. The results thus obtained can be easily exploited by the decision-makers to choose the appropriate policies in the perspective of improving road safety. Discussion and evaluation: The proposed approach ranks all association rules in order of importance for several quality measures of association rules. The alternatives at the top of the ranking are the results to retaining for the analysis. The approach is applied to the BAAC database of 2016, which led to the selection of three association rules. These association rules reveal that there are narrow correlations between the following elements: Driver with Pedestrian, Normal Surface of Road with Normal Atmospheric Condition and the Pavement with Pedestrian. These correlations can be justified by excess speed and carelessness of the drivers. Conclusion: The improvement of the road safety needs mainly to work more intensively on the behavioral side of the road users. For future work, it is planned to apply the proposed approach to the French traffic accident database, containing all the data on road accidents collected over several years. In addition, other measures will be used in the ranking of the association rules.

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Data mining combined to the multicriteria decision analysis for the improvement of road safety: case of France

2019

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“…There is a panoply of methods that are based on the principle of this approach. We cite the two prevalent methods ELECTRE (Elimination and Choice Translating the REALITY) method [10,11] and PROMETHEE (Preference Ranking Organization METHod for Enrichment of Evaluations) method [12].…”

Section: Analysis Methods and Comparison Between Mcdm Methodsmentioning

confidence: 99%

New Metrics to Measure the Quality of the Ranking Results Obtained by the Multi-criteria Decision-Making Methods

Abounaima

Lamrini

Mazouri

et al. 2021

Lecture Notes in Electrical Engineering

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Nowadays, there is a panoply of multi-criteria decision-making methods which are proposed in the literature to solve the ranking problematic, where each method has its resolution process and has its drawbacks and advantages. These methods aim to rank from best to worst a finite set of alternatives while taking into account a set of conflictual criteria. The purpose of this article is to propose specific metrics that will be useful to measure the quality of the rankings obtained by different methods. Thus, these quality measures can help the decision-maker to choose the best ranking objectively when adopting several methods. To show and prove the importance and relevance of the metrics proposed, a set of twenty-five examples of rankings will be examined. The results of the experiment conclusively show that all the proposed metrics lead to significant and equivalent quality measures.

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“…The following Table 1, called the performance matrix M [16], summarizes all the data which we need in a decision problem. ▪ Min means that the criterion to be minimized ▪ Max means that the criterion to be maximized ▪ W ={w1, ..., wj, ..., wm} are the weights of criteria.…”

Section: The Data Necessary For An Mcda Methodsmentioning

confidence: 99%

“…Whose main idea is to develop a relationship, by comparing the alternatives two by two, named outranking relation and denoted by S. This relation S will be used in a second step of the process to find the compromise solution according to the problem to be solved: problematic choice, classification or sorting. There are numerous methods which are based on the principle of this approach, of which we cite the two popular methods: the methods family PROMETHEE (Preference Ranking Organization METHod for Enrichment of Evaluations) [14], and the methods family ELECTRE (Elimination And Choice Translating Reality) [15], [16]. In this paper, the ELECTRE method will be used and compared to the method TOPSIS.…”

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confidence: 99%

Comparison by Correlation Metric the TOPSIS and ELECTRE II Multi-Criteria Decision Aid Methods: Application to the Environmental Preservation in the European Union Countries

Abounaima¹,

Lamrini²,

Makhfi³

et al. 2020

Adv. sci. technol. eng. syst. j.

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This article is part of the field of Multi-Criteria Decision Aid (MCDA), where several criteria must be considered in decision making. All criteria are generally as varied as possible and express different dimensions, and aspects of the decision problem posed. For more than four decades, several MCDA methods have emerged and have been applied perfectly to solve a large number of multi-criteria decision problems. Several studies have tried to compare these methods directly with one another. Since each method has its disadvantages and advantages, a direct comparison between the two methods is normally far from common sense and becomes subjective. In this article, we propose a rational and objective approach that will be used to compare the methods between them. This approach consists of using the famous correlation measure to evaluate the quality of the results obtained by different MCDA approaches. To prove the effectiveness of the proposed approach, experimental examples, as well as a study of real cases, will be studied. Indeed, a set of indicators, known as The Europe 2020 indicators, are defined by the European Commission (EC) to control the smart, sustainable and inclusive growth performance of the European Union countries (EU). In this proposed real study, a subset of indicators is used to compare the performance of environmental preservation and protection of the EU states. For this, the two-renowned methods MCDA ELECTRE II and TOPSIS are used to classify from the best to the worst CE countries with regard to environmental preservation. The results of the experiment that the proposed ranking quality measure is significant. For the case study shows that the ELECTRE II method results in a better ranking than that obtained by the TOPSIS method.

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Application of the ELECTRE III Method at the Moroccan Rural Electrification Program

Cited by 7 publications

References 13 publications

Data mining combined to the multicriteria decision analysis for the improvement of road safety: case of France

Data mining combined to the multicriteria decision analysis for the improvement of road safety: case of France

New Metrics to Measure the Quality of the Ranking Results Obtained by the Multi-criteria Decision-Making Methods

Comparison by Correlation Metric the TOPSIS and ELECTRE II Multi-Criteria Decision Aid Methods: Application to the Environmental Preservation in the European Union Countries

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