A new preference disaggregation TOPSIS approach applied to sort corporate bonds based on financial statements and expert's assessment

Silva, Diogo Ferreira de Lima; Ferreira, Luciano Vaz; Filho, Adiel Teixeira de Almeida

doi:10.1016/j.eswa.2020.113369

Cited by 39 publications

(13 citation statements)

References 67 publications

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“…Neste cálculo, as distâncias euclidianas são adotadas para medir a distância de cada alternativa para essas soluções de referência. O coeficiente de proximidade é calculado para cada alternativa e as alternativas são elencadas em ordem decrescente de seus respectivos coeficientes (Silva, 2018;Silva et al, 2020).…”

Section: Procedimento De Avaliação Dos Desempenhos Globais Das Etesunclassified

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Indicadores De Desempenho Para Avaliação De Estações De Tratamento De Esgotos De Uma Bacia De Esgotamento Em Fortaleza, Ceará, Brasil

Souza

Nunes

2023

Rev. AIDIS ing. cienc. ambient.

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As estações de tratamento de esgotos são consideradas fontes pontuais de poluição, podendo ocasionar o comprometimento dos corpos hídricos receptores. O desempenho eficaz e eficiente das ETEs contribui para a gestão sustentável dos recursos hídricos. Neste estudo, indicadores de desempenho (IDs) mais relevantes para a avaliação do desempenho de ETEs de uma bacia de esgotamento no município de Fortaleza, Ceará, Brasil, foram selecionados e analisados com base nas opiniões de especialistas. As respostas obtidas por meio do método Delphi foram utilizadas para definir os pesos dos IDs, utilizando o método AHP. Dos 18 IDs selecionados, destacaram-se: “Remoção de carga poluente do esgoto afluente na estação de tratamento”, “Conformidade das análises de esgoto tratado para sólidos suspensos totais” e “Conformidade das análises de esgoto tratado para DBO”. Em seguida, os desempenhos globais de 3 ETEs da área de estudo foram determinados pelo método multicritério TOPSIS-Sort. As ETEs Aldemir Martins e José Euclides obtiveram desempenho “Insatisfatório”, enquanto a ETE Castelão obteve “Satisfatório”. Espera-se que os IDs estruturados neste estudo sejam utilizados pelos atores envolvidos no processo de tomada de decisão, bem como a metodologia desenvolvida possa ser aplicada em outros estudos, considerando suas características e condições locais.

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Section: Procedimento De Avaliação Dos Desempenhos Globais Das Etesunclassified

“…Coeficientes de proximidade são calculados para as alternativas e para os perfis, de acordo com o procedimento TOPSIS tradicional. Em seguida, a classificação das alternativas é feita pela comparação dos seus coeficientes de proximidade com os coeficientes dos perfis (Silva, 2018;Silva et al, 2020).…”

Section: Procedimento De Avaliação Dos Desempenhos Globais Das Etesunclassified

Indicadores De Desempenho Para Avaliação De Estações De Tratamento De Esgotos De Uma Bacia De Esgotamento Em Fortaleza, Ceará, Brasil

Souza

Nunes

2023

Rev. AIDIS ing. cienc. ambient.

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“…All these fuzzy MCDM techniques are easy to comprehend, robust and mathematically sound. The fuzzy-TOPSIS method endeavors to identify the best alternative based on its minimum distance from the positive ideal solution and maximum distance from the negative ideal solution (Yu and Pan 2021;de Lima Silva et al 2020 andPetrović et al 2019). On the other hand, the fuzzy-EDAS method assigns a ranking order to the candidate alternatives based on the positive and negative distances from the average solution (Keshavarz Ghorabaee et al 2017).…”

Section: Introductionmentioning

confidence: 99%

Optimization of Wear Parameters for Duplex-TiAlN Coated MDC-K Tool Steel Using Fuzzy MCDM Techniques

Kumar

Maity

Patnaik

2022

Oper. Res. Eng. Sci. Theor. Appl.

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The present work evaluates the effects of different tribological process parameters on the measured responses such as hardness, coefficient of friction, surface roughness, wear mass loss and wear depth of duplex-TiAlN coated MDC-K tool steel material. The considered tribological process parameters are load, sliding velocity, and sliding distance. A full factorial design with 27 experimental runs is employed and based on the response values, an optimal combination of the tribological process parameters is subsequently determined. Different multi-objective optimization techniques, like overall evaluation criteria and fuzzy-based multi-criteria decisionmaking methods (fuzzy evaluation based on distance from the average solution, fuzzy technique for order of preference by similarity to ideal solution, and fuzzy complex proportional assessment) are utilized to identify the optimal intermixes of the considered tribological process parameters. Sensitivity analysis with respect to changing weights of the responses is performed to validate the derived rankings of the trials, whereas the results of analysis of variance revealed the most significant parameters were influencing the responses. In addition to this, two different published problems related to optimization of wear parameters were solved using the proposed method to check its capability.

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“…Sorting problems are very special cases because they have a new component called classes or categories in addition to attributes, alternatives, and experts. Classical MADM tools can prioritize the alternatives but they cannot handle this allocation problem having some special assumptions (de Lima Silva et al, 2020; De Lima Silva & de Almeida Filho, 2020): The classes are pre‐defined by the decision‐maker or they are inherently presented in the definition of the problem. The classes are ordered in terms of preference, that is, a class having a lower index is better than its follower:

C_{1} ≻ C_{2} ≻ C_{3} ≻ \dots ≻ C_{q}

. The order shows that

C_{1}

involves better alternatives than

{normalC}_{2}

do.…”

Section: Introductionmentioning

confidence: 99%

ARASsort: A new sorting based multiple attribute decision‐making algorithm

Gül

2022

Multi Criteria Decision Anal

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Multiple attribute decision‐making (MADM) tools can effectively support the decision analysts in selecting the best alternative among many, ranking the alternatives in decreasing or increasing order of preference, or allocating the alternatives into pre‐defined ordered classes/categories. Even though the literature provides the analyst with precious sorting‐based MADM tools such as PROMSORT, UTADIS, AHPSort, TOPSISsort, and so forth, the majority of the methods can be found complex and hard to be understood by the researchers and practitioners who are not familiar with the mathematical notions and computations of MADM (distance calculation, threshold and preference function determination, and so on). To provide a simpler but powerful MADM tool aiming at sorting the alternatives into classes, this study proposes a sorting‐based additive ratio assessment algorithm which is called ARASsort. For limiting (interval‐based) and central (reference‐based) profiles describing the categories, we have developed two algorithms: ARASsort‐lp and ARASsort‐cp, respectively. Their applicability was shown in two examples: green supplier evaluation and economic freedom evaluation of countries. The validity of algorithms was presented by demonstrating the class assignment similarities between the results obtained by ARASsort, VIKORsort, and TOPSISsort. The findings show that ARASsort works well because it shows a higher level of class assignment similarities with the other methods.

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A new preference disaggregation TOPSIS approach applied to sort corporate bonds based on financial statements and expert's assessment

Cited by 39 publications

References 67 publications

Indicadores De Desempenho Para Avaliação De Estações De Tratamento De Esgotos De Uma Bacia De Esgotamento Em Fortaleza, Ceará, Brasil

Indicadores De Desempenho Para Avaliação De Estações De Tratamento De Esgotos De Uma Bacia De Esgotamento Em Fortaleza, Ceará, Brasil

Optimization of Wear Parameters for Duplex-TiAlN Coated MDC-K Tool Steel Using Fuzzy MCDM Techniques

ARASsort: A new sorting based multiple attribute decision‐making algorithm

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