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Reduced soft matrices and generalized products with applications in decision making       
Yazarlar
Prof. Dr. Akın Osman ATAGÜN
Kırşehir Ahi Evran Üniversitesi, Türkiye
Hüseyin Kamacı
Yozgat Bozok Üniversitesi, Türkiye
Onur Oktay
Özet
A soft matrix multiplication of matrices in different types was not possible so far. In this study, we generalize the soft matrix products And, And-Not, Or, Or-Not defined in Cagman and Enginoglu (Comput Math Appl 59:3308-3314, 2010) so as to multiply soft matrices in different types. Furthermore, these generalizations allow us to multiply soft matrices more than two soft matrices. Therefore, we can solve decision making problems with multiple decision makers using a single product. These new operations make the process of solving decision making problems faster, easier and more convenient. Then we construct some effective decision making methods called soft distributive max-min (max-max, min-min, min-max) decision making methods. We also provided Scilab codes to demonstrate our methods.
Anahtar Kelimeler
Soft set, Soft matrix, Products of soft matrices, Soft distributive max-min decision making
Makale Türü Özgün Makale
Makale Alt Türü SSCI, AHCI, SCI, SCI-Exp dergilerinde yayımlanan tam makale
Dergi Adı NEURAL COMPUTING & APPLICATIONS
Dergi ISSN 0941-0643
Dergi Tarandığı Indeksler SCI-Expanded
Dergi Grubu Q1
Makale Dili İngilizce
Basım Tarihi 05-2018
Cilt No 29
Sayı 9
Sayfalar 445 / 456
Doi Numarası 10.1007/s00521-016-2542-y
BM Sürdürülebilir Kalkınma Amaçları
Atıf Sayıları
WoS 26
SCOPUS 26
Google Scholar 43
Reduced soft matrices and generalized products with applications in decision making

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