<scp>MACBETH</scp>
            (Measuring Attractiveness by a Categorical Based Evaluation Technique)

Costa, Carlos A. Bana e; Corte, Jean-Marie De; Vansnick, Jean-Claude

doi:10.1002/9780470400531.eorms0970

Cited by 39 publications

(32 citation statements)

References 12 publications

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“…Third, the technical parameters involved in the two methodologies can be interpreted in an easy way, allowing a simplification of the problem. The results obtained from their application are lists of k-best actions expressed in numerical values to be analysed further by the people involved [17,18]. Finally, the MACBETH method can be supported by the so-called M-MACBETH software, which is compatible with the way of reasoning of the inquired people and with their meaning of useful results.…”

Section: The Multicriteria Decision Analyses (Mcda)mentioning

confidence: 99%

“…Table 1. Semantic categories of the MACBETH method, Source [17]. Analysing the results: Once the model has been structured and filled in, the MACBETH method provides very clear results in the form of ranking allowing identify the attractiveness of the problem's criteria and alternatives.…”

Section: The Macbeth Methodsmentioning

confidence: 99%

“…In this paper, we choose to apply two different MCDA methods, respectively: the "Measuring Attractiveness by a Categorical Based Evaluation Technique" (MACBETH) [17] and the "Playing Cards" methods [18]. The choice of applying the two aforementioned methods for the definition and ranking of the decision criteria, which are required for delivering and assessing the urban energy scenarios, is due to a number of reasons.…”

Section: The Multicriteria Decision Analyses (Mcda)mentioning

confidence: 99%

“…In particular, the paper focuses on the test of two different methods for the definition and ranking of the decision criteria which are required for delivering and assessing the urban energy scenarios: the Measuring Attractiveness by a Categorical Based Evaluation Technique (MACBETH) [17] and the "Playing Cards" method [18].…”

Section: Introductionmentioning

confidence: 99%

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Multicriteria Spatial Decision Support Systems for Future Urban Energy Retrofitting Scenarios

et al. 2017

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Nowadays, there is an increasing concern about sustainable urban energy development taking into account national priorities of each city. Many cities have started to define future strategies and plans to reduce energy consumption and greenhouse gas emissions. Urban energy scenarios involve the consideration of a wide range of conflicting criteria, both socio-economic and environmental ones. Moreover, decision-makers (DMs) require proper tools that can support their choices in a context of multiple stakeholders and a long-term perspective. In this context, Multicriteria Spatial Decision Support Systems (MC-SDSS) are often used in order to define and analyze urban scenarios since they support the comparison of different solutions, based on a combination of multiple factors. The main problem, in relation to urban energy retrofitting scenarios, is the lack of appropriate knowledge and evaluation criteria. The latter are crucial for delivering and assessing urban energy scenarios through a MC-SDSS tool. The main goal of this paper is to analyze and test two different methods for the definition and ranking of the evaluation criteria. More specifically, the paper presents an on-going research study related to the development of a MC-SDSS tool able to identify and evaluate alternative energy urban scenarios in a long-term period perspective. This study refers to two Smart City and Communities research projects, namely: DIMMER (District Information Modeling and Management for Energy Reduction) and EEB (Zero Energy Buildings in Smart Urban Districts).

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Section: The Multicriteria Decision Analyses (Mcda)mentioning

confidence: 99%

Section: The Macbeth Methodsmentioning

confidence: 99%

Section: The Multicriteria Decision Analyses (Mcda)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Multicriteria Spatial Decision Support Systems for Future Urban Energy Retrofitting Scenarios

et al. 2017

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“…This can also be followed by, or done by, a more advanced and detailed information and assessment procedure, for example through the MACBETH impact assessment and weighting procedure as described in Bana e Costa et al (2003Costa et al ( , 2012. For a subsequent sensitivity analysis the VISA model can be used, for example, to calculate the aggregated benefit scores and perform the sensitivity analysis of the potential different flood risk reduction measures (Bana e Costa et al 2004).…”

Section: Technical Effectivenessmentioning

confidence: 99%

Effective and Sustainable Flood and Landslide Risk Reduction Measures: An Investigation of Two Assessment Frameworks

Andersson-Sköld

Nyberg

2016

Int J Disaster Risk Sci

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Natural events such as floods and landslides can have severe consequences. The risks are expected to increase, both as a consequence of climate change and due to increased vulnerabilities, especially in urban areas. Although preventive measures are often cost-effective, some measures are beneficial to certain values, while some may have negative impacts on other values. The aim of the study presented here was to investigate two frameworks used for assessing the effectiveness and sustainability of physical and nonphysical flood and landslide risk reduction measures. The study is based on literature, available information from authorities and municipalities, expert knowledge and experience, and stakeholder views and values. The results indicate that the risks for suboptimization or maladaptation are reduced if many aspects are included and a broad spectrum of stakeholders are involved. The sustainability assessment tools applied here can contribute to a more transparent and sustainable risk management process by assessing strategies and interventions with respect to both short-and long-term perspectives, including local impacts and wider environmental impacts caused by climate change, for example. The tools can also cover social and economic aspects. The assessment tools provide checklists that can support decision processes, thus allowing for more transparent decisions.

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On the Mathematical Foundations of MACBETH

Costa

Corte

Vansnick

2016

Multiple Criteria Decision Analysis

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MACBETH (Measuring Attractiveness by a Categorical BasedEvaluation Technique) is a multicriteria decision analysis approach that requires only qualitative judgements about differences of value to help an individual or a group quantify the relative attractiveness of options. We present an up-to-date survey of the mathematical foundations of MACBETH. Reference is also made to real-world applications and an extensive bibliography, spanning back to the early 1990's, is provided.

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MACBETH (Measuring Attractiveness by a Categorical Based Evaluation Technique)

Cited by 39 publications

References 12 publications

Multicriteria Spatial Decision Support Systems for Future Urban Energy Retrofitting Scenarios

Multicriteria Spatial Decision Support Systems for Future Urban Energy Retrofitting Scenarios

Effective and Sustainable Flood and Landslide Risk Reduction Measures: An Investigation of Two Assessment Frameworks

On the Mathematical Foundations of MACBETH

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