A NEW RANKING METHOD FOR TRIANGULAR INTUITIONISTIC FUZZY NUMBER BASED ON GERGONNE POINT
Öz
Fuzzy sets theory allows researchers to identify the uncertainties that arise from measurement error, vagueness and human thoughts. Fuzzy sets theory has been extended into various
different types by many researchers. Intuitionistic fuzzy sets are one of these types. There are two functions in intuitionistic fuzzy sets. These are membership function and non - membership
function. The ranking of intuitionistic fuzzy numbers plays the main role in modeling many real life problems. Several methods for ranking intuitionistic fuzzy numbers have been well
discussed in the literature. In a triangle, the lines from the vertices to the points of contact of the opposite sides of the inscribed circle meet at a point. That point is the Gergonne point. In this paper, a new method based on the Gergonne point is proposed to rank triangular intuitionistic fuzzy numbers. An illustrative example and comparison study is performed with the existing methods by using different triangular intuitionistic fuzzy numbers. The results are interpreted as a conclusion.
Anahtar Kelimeler
Kaynakça
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Ayrıntılar
Birincil Dil
İngilizce
Konular
İstatistik
Bölüm
Araştırma Makalesi
Yayımlanma Tarihi
30 Haziran 2019
Gönderilme Tarihi
29 Nisan 2019
Kabul Tarihi
20 Haziran 2019
Yayımlandığı Sayı
Yıl 2019 Cilt: 1 Sayı: 1