Comparing Fundamentals of Additive and Multiplicative Aggregation in Ratio Scale Multi-Criteria Decision Making

Choo, Eng Ung; Wedley, William C.

doi:10.2174/1874243200802010001

Cited by 24 publications

(13 citation statements)

References 22 publications

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“…The technique is also presented in the results with more details. Each action's final evaluation (Global Value) is carried out through an additive aggregation model (CHOO and WEDLEY, 2008). Equation 1 can generically express the model:…”

Section: Methodsmentioning

confidence: 99%

A multicriteria model to assess tractors used in family agriculture

Reis¹,

Machado²,

Gomes³

et al. 2014

Eng. Agríc.

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ABSTRACT:In recent years, public policy has been offering subsidized credit for machine purchase to family farmers. However, there is no methodological procedure to select a suitable tractor for these farmers' situation. In this way, we aimed to develop a selection model for smallholder farmers from Pelotas city region in the state of Rio Grande do Sul. Building a multicriteria model to aid decisions is divided into three main stages: structuring stage (identifying stakeholders, decisional context and model creation), evaluation stage (stakeholder preference quantification) and recommendation stage (choice selection). The Multicriteria method is able to identify and value the criteria used in tractor selection by regional family farmers. Six main evaluation areas were identified: operational cost (weight 0.20), purchase cost (weight 0.22), maintainability (weight 0.10), tractor capacity (weight 0.26), ergonomics (weight 0.14) and safety (weight 0.08). The best-rated tractor model (14.7 kW rated power) also was the one purchased by 53.3% of local families. Nos últimos anos, as políticas públicas vêm disponibilizando aos agricultores familiares crédito subsidiado para aquisição de máquinas agrícolas. No entanto, não há uma sistemática que possa ser utilizada para a seleção dos tratores mais adequados à realidade dos agricultores. Sendo assim, o objetivo deste trabalho é propor um modelo para a seleção de tratores destinados a agricultores de base familiar em municípios da região de Pelotas, Rio Grande do Sul. Para a construção do modelo, foi empregada a Metodologia Multicritério em Apoio à Decisão, que está dividida em três fases principais: a fase de estruturação (identificação de atores, contexto decisional e criação do modelo), a fase de avaliação (quantificação das preferências dos atores) e a fase de recomendações (seleção das melhores opções). O uso da metodologia multicritério permitiu identificar e valorar os critérios empregados na escolha de tratores por parte dos agricultores familiares desta região. Foram identificados seis eixos principais de avaliação: custo operacional (peso 0,20), custo de aquisição (peso 0,22), facilidade de manutenção (peso 0,10), capacidade do trator (peso 0,26), ergonomia (peso 0,14) e segurança (peso 0,08). O trator mais bem pontuado no modelo (14,7 kW de potência nominal) também foi aquele adquirido por 53,3% das famílias. KEY-WORDS

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Section: Methodsmentioning

confidence: 99%

A multicriteria model to assess tractors used in family agriculture

Reis¹,

Machado²,

Gomes³

et al. 2014

Eng. Agríc.

View full text Add to dashboard Cite

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“…The partial values in the additive model are converted by the scaling factors (weights) to commensurate values, which are the summed. Proper interpretations and careful handling of the categorization and normalization used in the model are essential elements to be incorporated properly into the questioning procedures of the decision makers, for understanding and informed use (Choo & Wedley, 2008).…”

Section: Inverse Classification Problem For Protective Actions Identimentioning

confidence: 99%

Identification of Protective Actions to Reduce the Vulnerability of Safety‐Critical Systems to Malevolent Intentional Acts: An Optimization‐Based Decision‐Making Approach

et al. 2019

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An empirical classification model based on the Majority Rule Sorting (MR‐Sort) method has been previously proposed by the authors to evaluate the vulnerability of safety‐critical systems (in particular, nuclear power plants [NPPs]) with respect to malevolent intentional acts. In this article, the model serves as the basis for an analysis aimed at determining a set of protective actions to be taken (e.g., increasing the number of monitoring devices, reducing the number of accesses to the safety‐critical system) in order to effectively reduce the level of vulnerability of the safety‐critical systems under consideration. In particular, the problem is here tackled within an optimization framework: the set of protective actions to implement is chosen as the one minimizing the overall level of vulnerability of a group of safety‐critical systems. In this context, three different optimization approaches have been explored: (i) one single classification model is built to evaluate and minimize system vulnerability; (ii) an ensemble of compatible classification models, generated by the bootstrap method, is employed to perform a “robust” optimization, taking as reference the “worst‐case” scenario over the group of models; (iii) finally, a distribution of classification models, still obtained by bootstrap, is considered to address vulnerability reduction in a “probabilistic” fashion (i.e., by minimizing the “expected” vulnerability of a fleet of systems). The results are presented and compared with reference to a fictitious example considering NPPs as the safety‐critical systems of interest.

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“…Fundamental differences between the two models are studied by Choo and Wedley [19]. This paper focuses on the latter approach.…”

Section: Properties Of Complete Rci Preference Relationsmentioning

confidence: 99%

Comparing distance to consensus of collective relations using OWA operators

Khalid

Awais

2015

Journal of Intelligent &Amp; Fuzzy Systems

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Consensus is understood as a unanimous agreement by all experts in a group. The goal of consensus is not the selection of several options but to develop one decision that suits the interests of the entire group under consideration. In this paper, it is assumed that collective preferences are developed with the help of commonly used ordered weighted averaging operators but resultant relations do not exhibit any property of a consensus type. That is, consensus is not reached at the first attempt of ranking alternatives. Under such circumstances, the measure of distance to consensus can be successfully used to determine how far a group collectively is from consensus. The aim of this paper is to compare, where possible, the distance to consensus of collective relations compiled with the help of most commonly used ordered weighted averaging operators. The innovative part is that this measure helps in defining an upper and lower bound of distance to consensus of the resultant collective relations. With such an analysis at hand, experts can choose a suitable ordered weighting averaging operator to formulate a collective relation that exhibits a lower distance to consensus.

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Comparing Fundamentals of Additive and Multiplicative Aggregation in Ratio Scale Multi-Criteria Decision Making

Cited by 24 publications

References 22 publications

A multicriteria model to assess tractors used in family agriculture

A multicriteria model to assess tractors used in family agriculture

Identification of Protective Actions to Reduce the Vulnerability of Safety‐Critical Systems to Malevolent Intentional Acts: An Optimization‐Based Decision‐Making Approach

Comparing distance to consensus of collective relations using OWA operators

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