Cross-entropy measure on interval neutrosophic sets and its applications in multicriteria decision making

Küçük Resim Yok

Tarih

2017

Yazarlar

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

Springer London

Erişim Hakkı

info:eu-repo/semantics/closedAccess

Özet

The neutrosophic set model is an important tool for dealing with real scientific and engineering applications because it can handle not only incomplete information but also the inconsistent information and indeterminate information which exist commonly in real situations. In this paper, we firstly propose two practical techniques converting an interval neutrosophic set into a fuzzy set and a single-valued neutrosophic set, respectively. Then, we define the interval neutrosophic cross-entropy in two different ways, which are based on extension of fuzzy cross-entropy and single-valued neutrosophic cross-entropy. Additionally, two multicriteria decision-making methods using the interval neutrosophic cross-entropy between an alternative and the ideal alternative are developed in order to determine the order of the alternatives and choose most preferred one(s). Finally, an illustrative example is presented to verify the proposed methods and to demonstrate their effectiveness and practicality. © 2015, The Natural Computing Applications Forum.

Açıklama

Anahtar Kelimeler

Cross-entropy, Interval neutrosophic sets, Multicriteria decision making, Neutrosophic sets, Single-valued neutrosophic sets, Entropy, Cross entropy, Incomplete information, Inconsistent information, Interval neutrosophic sets, Multi criteria decision making, Multi-criteria decision making methods, Neutrosophic sets, Scientific and engineering applications, Decision making, Cross-entropy, Interval neutrosophic sets, Multicriteria decision making, Neutrosophic sets, Single-valued neutrosophic sets, Entropy, Cross entropy, Incomplete information, Inconsistent information, Interval neutrosophic sets, Multi criteria decision making, Multi-criteria decision making methods, Neutrosophic sets, Scientific and engineering applications, Decision making

Kaynak

Neural Computing and Applications

WoS Q Değeri

Q1

Scopus Q Değeri

Q1

Cilt

28

Sayı

5

Künye