Akademik Veri Yönetim Sistemi
International Conference on Intelligent and Fuzzy Systems, INFUS 2021, İstanbul, Türkiye, 24 - 26 Ağustos 2021, cilt.308, ss.364-370
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.Decision making problems are the types of problems that human beings face at all times. They are tried to be solved also in business life. They consist of the alternatives and the criteria determined to select these alternatives. If the number of the criteria increases, the decision making problem becomes harder. In addition, criteria may not be always an easily measurable value. This makes the problem more complex and the decision making more difficult. The use of fuzzy sets is common in multi-criteria decision making (MCDM) problems because of the difficulty in determining data and the presence of subjective data. Fuzzy sets are used in many areas and they are included for many problems in the literature with their fuzzy set extensions over time. One of these extensions of fuzzy sets are called neutrosophic sets. They are concerned with whether the data belongs to the set or not, and also with degrees of indeterminacy as well. An important difference of neutrosophic sets is that it defines the degree of falsity that will reduce the indeterminacy of the data. In the MCDM problem, some criteria may be found which the data are indeterminate. Therefore, in this study, it is aimed to use neutrosophic sets for MCDM problems and propose a new ranking method for triangular fuzzy neutrosophic sets.