@Article{AJ_,
    doi     = { 10.17093/alphanumeric.323832 },
    author  = { Ahmet Aytekin and Çağlar Karamaşa },
    title   = { Analyzing Financial Performance Of Insurance Companies Traded In BIST via Fuzzy Shannon's Entropy Based Fuzzy TOPSIS Methodology },
    abstract = { Analyzing firms’ performance appropriately is essential issue for decision makers working in financial sector under the conditions of imprecise and incomplete information. Additionally it can be useful tool for firms in terms of competitive power and sector development. In this study financial performance of six insurance companies traded in BIST is analyzed by using six financial indicators within the period of 2011-2015. For this purpose firstly weights of criteria related to financial ratios are obtained by using fuzzy Shannon’s entropy based on -level set. Following to this firms’ final rankings are determined by means of fuzzy TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method. }
    journal = { Alphanumeric Journal },
    year    = { 2017 },
    volume  = { 5 },
    number  = { 1 },
    pages   = { 51-84 },
    url     = { https://alphanumericjournal.com/article/analyzing-financial-performance-of-insurance-companies-traded-in-bist-via-fuzzy-shannons-entropy-based-fuzzy-topsis-methodology },
}