Bernard Roy et l’aide multicritère à la décision

David, Albert; Damart, Sébastien

doi:10.3166/rfg.214.15-28

Cited by 6 publications

(2 citation statements)

References 6 publications

(6 reference statements)

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“…Bernard Roy then developed ELECTRE I method. However, it did not really start to be successful until 1968, when the foundations of the over-ranking approach were laid [41].…”

Section: "Aggregate Then Compare" or Aggregation Methodsmentioning

confidence: 99%

Multi-Criteria Decision Analysis for Energy Retrofit of Residential Buildings: Methodology and Feedback from Real Application

Daniel

Ghiaus

2023

Energies

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Decision-making in energy retrofit of existing buildings needs to consider the economic and technical criteria, as well as social and environmental ones. The main problems are to define and to aggregate these contradicting issues to support a measurable and verifiable decision process. The working hypothesis of this paper is that the ELECTRE Tri method would respond to the problem. The paper proposes and tests in a real professional environment the ELECTRE Tri method to help choose a retrofit program for collective residential buildings. The evaluation criteria used as performance indicators are defined in consultation with the decision maker and weighted by using the revised Simos’ cards method. The paper proposes to construct the renovation scenarios by combining individual actions that are mutually compatible. The methodology, the proposed criteria and the scenarios were successfully applied on a renovation project of a residential assembly composed of three buildings (67 apartments). A new solution to the problem of defining reference scenarios specific to the ELECTRE Tri method is also proposed. The main advantages of the proposed methodology are the formalization of the decision-making process within the framework of energy renovation strategies and the application of a robust multi-criteria analysis method, considering the complexity of the problem. The main drawbacks are the cost (in time and resources) for obtaining the information needed to construct the decision matrix and the precision of the weights of the criteria. The methodology implemented in Python is available in open source.

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“…Bernard Roy then developed ELECTRE I method. However, it did not really start to be successful until 1968, when the foundations of the over-ranking approach were laid [41].…”

Section: "Aggregate Then Compare" or Aggregation Methodsmentioning

confidence: 99%

Multi-Criteria Decision Analysis for Energy Retrofit of Residential Buildings: Methodology and Feedback from Real Application

Daniel

Ghiaus

2023

Energies

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“…[119,[151][152][153] which applies a sophisticated mathematical analysis of the systems which are partly defined and partly unknown, thus recognized as 'insufficient data' and' weak knowledge'; ELECTRE (in French: ELimination Et Choix Traduisant la REalite ´), see e.g. [3,[154][155][156], implemented to select the best alternative with maximum advantage and least conflict in relation to various criteria; VIKOR (from the Serbian: Vise Kriterijumska Optimizacija I Kompromisno Resenje), see e.g. [157,158], applied for examination of alternative preferences in highly complex environments; Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), see e.g.…”

Section: Systematic Review Of Literaturementioning

confidence: 99%

The uncertainty related to the inexactitude of prioritization based on consistent pairwise comparisons

Kazibudzki

2023

PLoS ONE

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When the in/consistency in Pairwise Comparisons (PCs) is taken into consideration as the subarea of the Multi Attribute Decision Making (MADM) scientific field, it has many repercussions in various types of research areas including different modelling scenarios e.g. reduction of inconsistency during PCs, deriving appropriate consistency thresholds for inconsistent Pairwise Comparison Matrices (PCMs), completing of incomplete PCMs, aggregating of individual PCMs in relation to Group Decision Making (GDM) aspects, and PCMs in/consistency relation to credibility of Priority Vectors (PV) derived from PCMs with the application of various Priorities Deriving Methods (PDMs). The examination objective in the latter area of research is the uncertainty related to the inexactitude of prioritization based on derived PVs. However, only few research studies examine this problem from the perspective of PCM applicability for credible designation of decision maker’s (DM) priorities in the way that leads to minimization of the prioritization uncertainty related to possible, and sometimes very probable, ranking fluctuations. This problem constitutes the primary area of interest for this research paper as no research study was thus far identified that examines this problem from the perspective of consistent PCMs. Hence, a research gap was identified. Thus, the objective of this research paper is to fill in this scientific gap. The research findings have serious repercussions in relation to prioritization quality with the application of PCs methodology, mostly in relation to the interpretation and reliability evaluation of prioritization results. Firstly, the research study outcome changes the perspective of the rank reversal phenomenon, which shed new light on many research studies that have been presented in the subject’s literature for many decades. Secondly, the research study results throw new light on the discussion concerning the fuzziness of AHP’s results. Last but not least, the effect of the research opens the unique opportunity to evaluate the prioritization outcome obtained within the process of consistent PCs from the well-known perspective of statistical hypothesis testing i.e. the probability designation of the chance that accepted ranking results which were considered as correct due to low probability of change may be incorrect, hence they should be rejected, and the probability designation of the chance that rejected ranking results which were considered as incorrect due to high probability of change may be correct and should be accepted. The paramount finding of the research is the fact that consistent PCMs provide PVs, which elements cannot be considered as established, but only approximated within certain confidence intervals estimated with a certain level of probability. As problems related to heuristics can be analyzed only via a computer simulation process, because they cannot be mathematically determined, the problem examined in this research paper is examined via Monte Carlo simulations, appropriately coded and executed with the application of Wolfram’s Mathematica Software. It is believed that this research findings should be very important and useful for all decision makers and researchers during their problems‘ examinations that relate to prioritization processes with the application of PCs methodology.

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A machine-learning based hybrid algorithm for strategic location of urban bundling hubs to support shared public transport

et al. 2021

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Bernard Roy et l’aide multicritère à la décision

Abstract: 1. Les auteurs remercient Bernard Roy pour les échanges qu'ils ont pu avoir avec lui.Cet article des Editions Lavoisier est disponible en acces libre et gratuit sur archives-rfg.revuesonline.com

Cited by 6 publications

References 6 publications

Multi-Criteria Decision Analysis for Energy Retrofit of Residential Buildings: Methodology and Feedback from Real Application

Multi-Criteria Decision Analysis for Energy Retrofit of Residential Buildings: Methodology and Feedback from Real Application

The uncertainty related to the inexactitude of prioritization based on consistent pairwise comparisons

A machine-learning based hybrid algorithm for strategic location of urban bundling hubs to support shared public transport

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