scholarly journals Min cost improvement and max gain stability in multicriteria sorting methods on combinatorial domains

Author(s):  
Nawal Benabbou ◽  
Hugo Martin ◽  
Patrice Perny



2000 ◽  
Vol 15 (1-2) ◽  
pp. 113-129 ◽  
Author(s):  
MICHAEL DOUMPOS ◽  
CONSTANTIN ZOPOUNIDIS ◽  
PANOS M. PARDALOS


2015 ◽  
Vol 42 (6) ◽  
pp. 481-489 ◽  
Author(s):  
E. M. Furems






2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Diogo F. de Lima Silva ◽  
Julio Cezar Soares Silva ◽  
Lucimário G. O. Silva ◽  
Luciano Ferreira ◽  
Adiel T. de Almeida-Filho

In view of the records of failures in rating agencies’ assessments for sorting countries’ quality of credit in degrees of default risk, this paper proposes a multicriteria sorting model using reference alternatives so as to allocate sovereign credit securities into three categories of risk. From a numerical application, what was observed from the results was a strong adherence of the model in relation to those of the agencies: Standard & Poor's and Moody's. Since the procedure used by the agencies is extremely subjective and often questioned, the contribution of this paper is to put forward the use of an objective and transparent methodology to sort these securities. Given the agencies’ conditions for undertaking the assessment, a complete similarity between the results obtained and the assignments of the agencies was not expected. Therefore, this difference arises from subjective factors that the agencies consider but the proposed model does not. Such subjective and questionable aspects have been partly responsible for the credibility of these credit agencies being diminished, especially after the 2007-2008 crisis.



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