The Multi-Actor Multi-Criteria Analysis (MAMCA) for Mass-Participation Decision Making

Huang, He; Mommens, Koen; Lebeau, Philippe; Macharis, Cathy

doi:10.1007/978-3-030-73976-8_1

Cited by 6 publications

(11 citation statements)

References 24 publications

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“…In step 5, the participants from each stakeholder group need to allocate the weight for their criteria and assess the performance of alternatives based on their criteria. The form of criteria weight elicitation and alternative performance assessment can be different: a workshop can be held to invite representatives to evaluate for their stakeholder groups; it can also be realized in a mass-participation way by distributing a survey for the evaluation so that voices from more stakeholders can be heard (Huang, Mommens, et al, 2021). MAMCA is allowed to use any MCDM method to evaluate alternatives, such as the Analytical Hierarchy Process (AHP) (Golden et al, 1989), ELECTRE (Leyva-Lopez & Fernandez-Gonzalez, 2003), Preference Ranking Organization Method for Enrichment of Evaluations (PROMETHEE) (Brans & De Smet, 2016), or Simple Multi-Attribute Rating Technique (SMART) (Edwards, 1977).…”

Section: Mamca Frameworkmentioning

confidence: 99%

“…MAMCA is allowed to use any MCDM method to evaluate alternatives, such as the Analytical Hierarchy Process (AHP) (Golden et al, 1989), ELECTRE (Leyva-Lopez & Fernandez-Gonzalez, 2003), Preference Ranking Organization Method for Enrichment of Evaluations (PROMETHEE) (Brans & De Smet, 2016), or Simple Multi-Attribute Rating Technique (SMART) (Edwards, 1977). (Huang, Mommens, et al, 2021) (te Boveldt et al, 2020).…”

Section: Mamca Frameworkmentioning

confidence: 99%

“…With numerous stakeholders involved and vast potential conflicts, this testbed thus provides grounds for a MAMCA-based stakeholder framework for urban construction logistics, presented by Brusselaers et al (Brusselaers et al, 2021).Although the researchers included a broad spectrum of stakeholders in the BCR use case, Citizens were unable to be included in the evaluation due to technical and practical constraints linked to the SARS-CoV-2 pandemic. Concurrently, this leaves room for improvement in the context of mass participation of multi-actor multi-criteria analyses (Huang, Mommens, et al, 2021).…”

Section: Case Studymentioning

confidence: 99%

“…This framework could serve as a mathematical reference for the facilitators in selecting the criteria. This procedure could be particularly useful in mass-participation applications, which are typically characterized by large numbers of divergent priorities (Huang, Mommens, et al, 2021).…”

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confidence: 99%

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Criteria preprocessing in multi‐actor multi‐criteria analysis

Huang

Canoy

Brusselaers

et al. 2023

Multi Criteria Decision Anal

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Multi‐actor multi‐criteria analysis is a group decision‐making framework that allows multiple stakeholder groups to be involved in the decision‐making process, facilitating the understanding of the points of consensus and conflict among the stakeholder groups. Carefully selecting suitable criteria is important as they illustrate the possibly divergent priorities of the respective stakeholder group, and overlooking important criteria can lead to erroneous outcomes. Furthermore, the number of criteria needs specific consideration, as a too large number poses problems for human cognition, but a too small number inaccurately represents the stakeholder's interest. In stakeholder groups with many members, such as those representing citizens, defining a criteria set is likely to be even more complicated. Currently, there is no formal guideline to assist facilitators in defining these criteria sets. In this paper, we propose a novel framework for criteria preprocessing with stakeholder involvement that includes a guideline for firstly selecting criteria into a tentative list and secondly selecting the final criteria set. It provides a procedure on how to determine criteria considering the priorities of stakeholder groups with regard to the context. As a final step, we propose a mathematical model for selecting a number of criteria that are both cognitively manageable and representative for the participants' priorities. Based on the principles of the Pareto analysis, as well as the cognitive judgment theory “magic number seven plus or minus two”, a recommendation list of the criteria is generated. It prevents key criteria from being omitted while at the same time limiting the overall number of criteria. This framework is applied to a social decision‐making case for construction logistics, and the results are compared with the conventional approach of criteria definition.

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Section: Mamca Frameworkmentioning

confidence: 99%

Section: Mamca Frameworkmentioning

confidence: 99%

Section: Case Studymentioning

confidence: 99%

mentioning

confidence: 99%

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Criteria preprocessing in multi‐actor multi‐criteria analysis

Huang

Canoy

Brusselaers

et al. 2023

Multi Criteria Decision Anal

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“…MCDA has also been used successfully for solving decision-making problems that are related to uncertainties or require a group decision-making approach for solving them [19][20][21][22][23][24][25]. As some examples of such approaches, the following can be mentioned: a grey absolute decision analysis [26], a multiple criteria decision analysis framework for the dispersed group [27], a fuzzy multi-criteria analysis [28][29][30], and collaborative decision-making in the multi-actor multi-criteria analysis [31].…”

Section: Introductionmentioning

confidence: 99%

An Innovative Grey Approach for Group Multi-Criteria Decision Analysis Based on the Median of Ratings by Using Python

Stanujkić

Karabašević

Popović

et al. 2021

Axioms

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Some decision-making problems, i.e., multi-criteria decision analysis (MCDA) problems, require taking into account the attitudes of a large number of decision-makers and/or respondents. Therefore, an approach to the transformation of crisp ratings, collected from respondents, in grey interval numbers form based on the median of collected scores, i.e., ratings, is considered in this article. In this way, the simplicity of collecting respondents’ attitudes using crisp values, i.e., by applying some form of Likert scale, is combined with the advantages that can be achieved by using grey interval numbers. In this way, a grey extension of MCDA methods is obtained. The application of the proposed approach was considered in the example of evaluating the websites of tourism organizations by using several MCDA methods. Additionally, an analysis of the application of the proposed approach in the case of a large number of respondents, done in Python, is presented. The advantages of the proposed method, as well as its possible limitations, are summarized.

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