A new parsimonious AHP methodology: Assigning priorities to many objects by comparing pairwise few reference objects

Abastante, Francesca; Corrente, Salvatore; Greco, Salvatore; Ishizaka, Alessio; Lami, Isabella Maria

doi:10.1016/j.eswa.2019.02.036

Cited by 108 publications

(68 citation statements)

References 67 publications

(68 reference statements)

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“…This issue has received particular attention for the AHP method, as summarized in the review article by Maleki and Zahir [ 105 ]. In consequence, there were proposals of versions of AHP that can avoid this phenomenon [ 171 , 1 ].…”

Section: A Taxonomy Of the Mcda Process Characteristicsmentioning

confidence: 99%

How to support the application of multiple criteria decision analysis? Let us start with a comprehensive taxonomy

Cinelli

Kadziński

Gonzalez

et al. 2020

Omega

205

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Decision making is a complex task that involves a multitude of perspectives, constraints, and variables. Multiple Criteria Decision Analysis (MCDA) is a process that has been used for several decades to support decision making. It includes a series of steps that systematically help Decision Maker(s) (DM(s)) and stakeholders in structuring a decision making problem, identifying their preferences, and building a decision recommendation consistent with those preferences. Over the last decades, many studies have demonstrated the conduct of the MCDA process and how to select an MCDA method. Until now, there has not been a review of these studies, nor a proposal of a unified and comprehensive high-level representation of the MCDA process characteristics (i.e., features), which is the goal of this paper. We introduce a review of the research that defines how to conduct the MCDA process, compares MCDA methods, and presents Decision Support Systems (DSSs) to recommend a relevant MCDA method or a subset of methods. We then synthesize this research into a taxonomy of characteristics of the MCDA process, grouped into three main phases, (i) problem formulation, (ii) construction of the decision recommendation, and (iii) qualitative features and technical support. Each of these phases includes a subset of the 10 characteristics that helps the analyst implementing the MCDA process, while also being aware of the implication of these choices at each step. By showing how decision making can be split into manageable and justifiable steps, we reduce the risk of overwhelming the analyst, as well as the DMs/stakeholders during the MCDA process. A questioning strategy is also proposed to demonstrate how to apply the taxonomy to map MCDA methods and select the most relevant one(s) using real case studies. Additionally, we show how the DSSs for MCDA method recommendation can be grouped into three main clusters. This proposal can enhance a traceable and categorizable development of such systems.

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Section: A Taxonomy Of the Mcda Process Characteristicsmentioning

confidence: 99%

How to support the application of multiple criteria decision analysis? Let us start with a comprehensive taxonomy

Cinelli

Kadziński

Gonzalez

et al. 2020

Omega

205

View full text Add to dashboard Cite

show abstract

“…The resulting matrix aims to ensure the consistency of the score given, the decision maker verifies whether the consistency ratio (CR) is less than 10%. Higher CR values reveal a lack of transitivity in many matrices that correspond to contradictory assessments; hence, this situation forces the revision of the assigned score [15] Step 3: looking for weights using the AHP method. The criteria used are road conditions, types of damage, traffic and budget.…”

Section: Determine the Priority Scale For Road Improvementmentioning

confidence: 99%

Decision Support System to Determine Priorities for Handling Road Repair in Banten Province Using Analytical Hierarchy Process Method

Ruhiawati¹,

Rahardja²,

Masaeni³

et al. 2020

Proceedings of the 1st International Multidisciplinary Conference on Education, Technology, and Engineering (IMCETE 2019)

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The Public Works and Spatial Planning Office of Banten Province is a government institution tasked with handling infrastructure such as roads, bridges, culverts, sidewalks and street lighting. In repairing roads and bridges it is necessary to make a priority plan to determine which roads and bridges need to be repaired. At present in determining priorities for road and bridge repairs, the Public Works Agency is getting information from the results of surveys and proposals from relevant agencies. From the results of surveys and agency proposals, information was obtained that many roads and bridges were damaged. Due to budget constraints from the government, the Public Works Agency must determine priorities regarding road conditions that must be improved first. The purpose of this study is to determine the priority of roads and bridges that must be repaired based on the criteria of the road that has suffered the most damage so it must be repaired immediately. The AHP method is used to find the best alternative from the many alternatives available about the survey information and related agency proposals regarding damaged roads. As a result, using the AHP method can determine priorities for road and bridge repair accurately.

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“…A well-known procedure for determining criteria weights, the revised Simos' procedure ("SRF method"), was adopted [17] during a focus group with experts in architecture, urban planning (with a specific expertise in accommodating migrants), and project evaluation (other methods for fixing weights in MCDA procedure applied to territorial and urban planning problems have been proposed, such as AHP [28] in [19]; in case of a great number of criteria, to reduce the cognitive burden related to the great number of pairwise comparisons requested, one can apply the parsimonious AHP proposed in [2]). In general, the SRF method is quite easy to use.…”

Section: Assignment Of the Criteria Weights And Interaction Coefficientsmentioning

confidence: 99%

Assigning a house for refugees: an application of a multiple criteria nominal classification method

et al. 2019

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This paper proposes the use of a Multiple Criteria Decision Aiding (MCDA) nominal classification method to tackle a dramatic current social problem: the accommodation system for refugees. In recent years, the number of people in need of protection and assistance as a consequence of forced displacement has drastically increased. As many other European cities, Turin (Italy) offers to refugees temporary places for a limited time span, but they are insufficient and often inadequate. Meanwhile, there are several underused buildings that can potentially be used to cover the refugees' needs of housing and facility. Combining these two aspects, this study aims at contributing to the definition of an urban strategy and improve the decision aiding process related to the accommodation system in Turin. We adopt a recently developed MCDA method to tackle the problem of accommodation of migrants , that is, the Cat-SD (Categorization by Similarity-Dissimilarity) method. We face a nominal classification problem where underused buildings located in the city of Turin are assigned to categories (i.e., three migrant status). A decision model is constructed based on the judgments of the experts. Thus, the application of

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A new parsimonious AHP methodology: Assigning priorities to many objects by comparing pairwise few reference objects

Cited by 108 publications

References 67 publications

How to support the application of multiple criteria decision analysis? Let us start with a comprehensive taxonomy

How to support the application of multiple criteria decision analysis? Let us start with a comprehensive taxonomy

Decision Support System to Determine Priorities for Handling Road Repair in Banten Province Using Analytical Hierarchy Process Method

Assigning a house for refugees: an application of a multiple criteria nominal classification method

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