Similarity measures of intuitionistic fuzzy soft sets and their decision making

Autor: Çağman, Naim, Deli, İrfan
Rok vydání: 2013
Předmět:
Druh dokumentu: Working Paper
Popis: In this article, we define some types of distances between two intuitionistic fuzzy soft (IFS) sets and proposed similarity measures of two IFS-sets. We then construct a decision method which is applied to a medical diagnosis problem that is based on similarity measures of IFS-sets. Finally we give two simple example to show the possibility of using this method for diagnosis of diseases which could be improved by incorporating clinical results and other competing diagnosis.
Databáze: arXiv