Open AccessIntegrating Fuzzy AHP and Fuzzy ARAS for evaluating financial performance
Author(s) -
Abdolhamid Safaei Ghadikolaei,
Saber Khalili Esbouei
Publication year - 2014
Publication title -
boletim da sociedade paranaense de matemática
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.347
H-Index - 15
eISSN - 2175-1188
pISSN - 0037-8712
DOI - 10.5269/bspm.v32i2.21378
Subject(s) - multiple criteria decision analysis , analytic hierarchy process , fuzzy logic , stock exchange , financial ratio , computer science , automotive industry , fuzzy number , operations research , fuzzy set , mathematics , engineering , business , finance , artificial intelligence , aerospace engineering
Multi Criteria Decision Making (MCDM) is an advanced field of Operation Research; recently MCDM methods are efficient and common tools for performance evaluation in many areas such as finance and economy. The aim of this study is to show one of applications of mathematics in real word. This study with considering value based measures and accounting based measures simultaneously, provided a hybrid approach of MCDM methods in fuzzy environment for financial performance evaluation of automotive and parts manufacturing industry of Tehran stock exchange (TSE).for this purpose Fuzzy analytic hierarchy process (FAHP) is applied to determine the relative important of each criterion, then The companies are ranked according their financial performance by using fuzzy additive ratio assessment (Fuzzy ARAS) method. The finding of this study showed effective of this approach in evaluating financial performance
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