Determining new possible weight values in PROMETHEE: a procedure based on data envelopment analysis

Bagherikahvarin, Maryam; Smet, Yves De

doi:10.1057/s41274-016-0107-1

Cited by 12 publications

(4 citation statements)

References 39 publications

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“…Despite their implementation being widespread in MCDA, PROMETHEE methods present some drawbacks in their application to real-world decision problems, due to the limitations imposed by their basic assumptions [37]. As a consequence, to overcome these shortcomings, in the last decade many extensions of PROMETHEE methods have been proposed in literature with respect to, among others, weights determination [38], integration with data envelopment analysis [39,40], analytic network process [41] or fuzzy approaches [42,43], recommendations robustness [44], and sorting methods [45].…”

Section: Methodological Backgroundmentioning

confidence: 99%

Ranking of Adaptive Reuse Strategies for Abandoned Industrial Heritage in Vulnerable Contexts: A Multiple Criteria Decision Aiding Approach

2019

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In recent years adaptive reuse has proven to be a promising strategy for preserving cultural heritage. When the adaptive reuse approach is used for cultural heritage, the expected outcome is not only the building protection, but the preservation of its historical and heritage significance, and the trade-off between the retention of symbolic values and the adaptation to new alternative (economically profitable) uses becomes of paramount importance. Decisions on the allocation of resources for cultural heritage preservation or development are based on a set of multiple, often conflicting, criteria, as well on the preferences of various, and not always consensual, stakeholders, who attribute different relative importance to market and non-market effects of adaptive reuse proposals. In this context, multiple criteria approaches provide a proper theoretical and methodological framework to address the complexity which characterizes adaptive reuse strategies of cultural heritage. This paper aims to contribute to this strand of literature by proposing a multicriteria decision aiding approach for ranking adaptive reuse strategies of cultural heritage. In detail, we present a novel application of the Preference Ranking Organization Method for Enrichment of Evaluations (PROMETHEE) to support the design and implementation of adaptive reuse strategies of abandoned industrial heritage in vulnerable contexts, and evaluate relative tangible and intangible effects. Industrial sites are frequently left to deteriorate, as their preservation is not considered as important as other kinds of heritage structures. Nevertheless, they are characterized by special architectural and technical features as well as by huge spaces suitable to be redeveloped for new uses. The paper focuses on the potential reuse of nine different abandoned buildings located in an industrial valley in the North-West of Italy, with a strong presence of wool and silk factories starting from the 18th century.

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Section: Methodological Backgroundmentioning

confidence: 99%

Ranking of Adaptive Reuse Strategies for Abandoned Industrial Heritage in Vulnerable Contexts: A Multiple Criteria Decision Aiding Approach

2019

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“…the attributes in the same direction have the same performance and the alternatives (criteria) pointing in opposite directions are called conflicting alternatives (criteria). The decision axis shows the direction of optimum solution of the problem, the attributes in the same direction and length with this axis have good performance (Dağdeviren, 2008;Bagherikahvarin and De Smet, 2017). Results are evaluated with sensitivity analysis.…”

Section: Gaia Planementioning

confidence: 99%

Review of PROMETHEE method in transportation

Oubahman

Duleba

2021

Production Engineering Archives

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In recent decades, decision support system has been constantly growing in the field of transportation planning. PROMETHEE (Preference Ranking Organization METHod for Enrichment Evaluation) method is an efficient decision-making support deployed in case of a finite number of criteria. It provides a partial ranking through PROMETHEE I and a complete ranking with PROMETHEE II. This outranking methodology is characterized by the elimination of scale effects between criteria and managing incomparability with the comprehensive ranking. However, PROMETHEE does not provide guidance to assign weights to criteria and assumes that decision makers are able to allocate weights. This review presents an overview of PROMETHEE models applied in transportation and points out the found gaps in literature.

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“…However, we contend that this method cannot be used directly because it assumes trade-off among the attributes and uses additive evaluations without evaluating the intensity of preference among alternatives, aspects criticised by researchers in corporate governance studies. Furthermore, the outranking methods, especially PROMETHEE methods, seem to be feasible because Brans et al (1986), De Keyser & Peeters (1996), Brans & Mareschal (2003;2005), Behzadian et al (2010), Bagherikahvarin and De Smet (2017), and Rocco et al (2016), among others, mention that they allow us exhaustively to analyse the outranking relationships, intensity of preferences, and dominance and nondominance interactions among alternatives using pairwise comparisons. Namely, outranking methods help to compute the dominance relationships among alternatives using, in general, a non-compensatory approach based on distance measurements.…”

Section: Modelling Settingmentioning

confidence: 99%

Does relative strength in corporate governance improve corporate performance? Empirical evidence using MCDA approach

Gűney

Hernández-Perdomo

Rocco

2019

Journal of the Operational Research Society

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Academics and practitioners have developed different constructs to quantify corporate governance quality. Despite the limitations of the existing measures, they are still being commonly used. The literature finds that the relationship between performance and corporate governance quality can be positive, non-existing or even negative. To resolve this puzzle, we introduce a multi-criteria decision analysis (MCDA) approach to construct an alternative corporate governance quality synthesising companies' practices and mechanisms through an exhaustive pair comparison procedures based on outranking relationships analysis. Our approach compares the aggregate quality with a well-known corporate governance index, ASSET4 ESG in Thomson Reuters Datastream, using data for the U.S. firms. Using this MCDA approach based on PROMETHEE methods and econometric analysis, we obtain consistently a negative and strong link between firm performance and corporate governance quality. The findings are of particular interest to both scholars and decision makers including providers of corporate governance indices and rating agencies.

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Determining new possible weight values in PROMETHEE: a procedure based on data envelopment analysis

Cited by 12 publications

References 39 publications

Ranking of Adaptive Reuse Strategies for Abandoned Industrial Heritage in Vulnerable Contexts: A Multiple Criteria Decision Aiding Approach

Ranking of Adaptive Reuse Strategies for Abandoned Industrial Heritage in Vulnerable Contexts: A Multiple Criteria Decision Aiding Approach

Review of PROMETHEE method in transportation

Does relative strength in corporate governance improve corporate performance? Empirical evidence using MCDA approach

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