Supplier selection using AHP methodology extended by D numbers

Deng, Xinyang; Hu, Yong; Deng, Yong; Mahadevan, Sankaran

doi:10.1016/j.eswa.2013.07.018

Cited by 403 publications

(269 citation statements)

References 57 publications

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“…A metodologia AHP utiliza a comparação paritária entre cada um dos critérios, subcrité-rios, alternativas e correlação entre níveis usando uma escala denominada nominal (DENG et al, 2014), conforme indicado na Tabela 5. Estas comparações feitas com a finalidade de determinar os  níveis de importância de cada critério e atributo comparando, por exemplo, um elemento i com um elemento j (GARCÍA et al, 2014) Desta forma, o uso do AHP correlaciona os diversos critérios e procede com as comparações paritárias, identificando inconsistências nas análises.…”

Section: Estruturação Da Análise Multicriterialunclassified

Avaliação das Estratégias de Comercialização do Milho em MS Aplicando o Analytic Hierarchy Process (AHP)

Reis

Vendrametto

Nääs

et al. 2016

Rev. Econ. Sociol. Rural

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Resumo: Os produtores de milho precisam decidir sobre qual a melhor alternativa para comercialização do produto: vender antes da colheita, no momento da colheita, no mercado futuro ou armazenar para vender na entressafra. Entretanto, essa nem sempre é uma tarefa fácil já que depende de diversas variáveis que afetam diretamente essa decisão. Neste estudo, foram analisados dados da produção de milho internacional e brasileira e buscou-se identificar qual a melhor estratégia de comercialização de milho para os produtores de Mato Grosso do Sul (MS) considerando quatro variáveis de decisão em conjunto: logística, preço, produtividade e disponibilidade de produto. Essa análise multicritério foi realizada adotando-se a metodologia do Analytic Hierarchy Process (AHP) com o uso do software Expert Choice® v. 11. Os resultados indicaram que a melhor decisão para o produtor de milho de MS seria vender o produto na entressafra e também apontaram que a logística foi o critério de maior peso na tomada de decisão (0,467).Palavras-chaves: AHP; Produção de milho; Logística de grãos; Mato Grosso do Sul. Abstract:Corn producers need to find the best alternative to sell the production; selling before harvest, during the harvest, in the future market or store to sell in the off-season period. However, this is not an easy task because the crop is affected by several variables. In this study, we analyzed international and Brazilian corn production data to find out the best strategy of corn commercialization for Mato Grosso do Sul State (Brazil) producers.

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Section: Estruturação Da Análise Multicriterialunclassified

Avaliação das Estratégias de Comercialização do Milho em MS Aplicando o Analytic Hierarchy Process (AHP)

Reis

Vendrametto

Nääs

et al. 2016

Rev. Econ. Sociol. Rural

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“…The authors develop a technique to check the consistency of an intuitionistic preference relation and a novel normalizing rank summation method to derive the priority vector of an intuitionistic preference relation. Deng et al [134] focus on supplier selection problem and extend AHP method with D Numbers which is identified as a new effective and feasible representation of uncertain information. In the proposed method the pairwise comparison are filled with D numbers and all other steps of the methodology is extended accordingly.…”

Section: Fuzzy Ahp Methodsmentioning

confidence: 99%

Fuzzy Multicriteria Decision-Making: A Literature Review

Kahraman¹,

Onar²,

Öztayşi³

2015

IJCIS

412

194

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Multicriteria decision-making (MCDM) refers to making decisions in the presence of multiple and usually conflicting criteria. Fuzzy decision-making is used where vague and incomplete data exist for the solution. Fuzzy multicriteria decision-making is one of the most popular problems handled by the researchers in the literature. In this paper, we survey the latest status of fuzzy multicriteria decision-making methods and classify these methods dividing into two parts: fuzzy multiattribute decision-making (MADM) and fuzzy multiobjective decision-making (MODM). Most of the publications are on fuzzy MADM since there are a plenty of classical multiattribute decision-making methods in the literature. Tabular and graphical illustrations for each method are given.

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“…In contrast with the construction of CFPR, a method is proposed for constructing the D-CFPR, and the proposed method is also effective to construct the CFPR. In addition, the priority weights and ranking of alternatives can be obtained from a D-CFPR based on our previous work [32]. In [32], we proposed a D-AHP (D numbers extended AHP) model for multi-criteria decision making (MCDM).…”

Section: Introductionmentioning

confidence: 99%

“…To overcome these weaknesses, D numbers [31,32,33,34] by experts or decision makers, and it can be reduced to classical CFPR. In contrast with the construction of CFPR, a method is proposed for constructing the D-CFPR, and the proposed method is also effective to construct the CFPR.…”

Section: Introductionmentioning

confidence: 99%

D-CFPR: D numbers extended consistent fuzzy preference relations

Deng

Chan

et al. 2015

Knowledge-Based Systems

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How to express an expert's or a decision maker's preference for alternatives is an open issue. Consistent fuzzy preference relation (CFPR) is with big advantages to handle this problem due to it can be construed via a smaller number of pairwise comparisons and satisfies additive transitivity property.However, the CFPR is incapable of dealing with the cases involving uncertain and incomplete information. In this paper, a D numbers extended consistent fuzzy preference relation (D-CFPR) is proposed to overcome the weakness.

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Supplier selection using AHP methodology extended by D numbers

Cited by 403 publications

References 57 publications

Avaliação das Estratégias de Comercialização do Milho em MS Aplicando o Analytic Hierarchy Process (AHP)

Avaliação das Estratégias de Comercialização do Milho em MS Aplicando o Analytic Hierarchy Process (AHP)

Fuzzy Multicriteria Decision-Making: A Literature Review

D-CFPR: D numbers extended consistent fuzzy preference relations

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