Ayrıntılı Bilimsel Program ve Bildiri Özetleri - YAEM2010

YAEM 2010
YÖNEYLEM ARAÞTIRMASI VE ENDÜSTRÝ MÜHENDÝSLÝGI 30. ULUSAL KONGRESÝ
software languages with performance within their industry does not
depend on their own performance. Therefore evaluation of software
languages is a multi criteria decision making problem that requires a
lot of evaluation criteria. This study has aimed at finding the best
decision between object-oriented languages which use objects and
data structures consisting data fields and methods together with their
interactions for designing applications and computer programs (C++,
C#, Java, Python, Ruby, Perl) and criterions for programming courses
with fuzzy AHP, and obtaining ranking for software languages and
criteria were given.
Evaluation of a Firm's Credit Risk Rating: An Analytic Network
Process Approach
Gökhan Gencer, Ýlker Yusuf Topçu
Istanbul Technical University, Istanbul
As we saw in the 2007 crisis, the important use of financial methods
may lead to unacceptable results. These financial methods include
credit risk evaluation of the firms. The scope of this study is the risk
rating of non-financial and non-bank firms both corporate and SME.
The evaluation of the companies with a credit risk aspect takes many
factors, both qualitative and quantitative, into consideration. This
problem is a typical example of a 'Multi Criteria Decision Making
Problem'. The network of relations has leaded us to the use of
'Analytic Network Process' approach where we have analyzed the
factors that affect the credit risk rating of firms. These factors have
first been obtained through the literature and then a group of experts,
professionals from the credit and risk departments of corporate
banks, have been asked to review the list of factors. Then the
relationships among these factors have been identified by the same
group of experts. Furthermore, these factors have been compared
pairwisely to determine their relative importance. The aim of this
process is to create a decision support model for a corporate bank
management to better evaluate credit risk rating of corporate firms.
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