Reduced soft matrices and generalized products with applications in decision making
Yazarlar (3)
Prof. Dr. Akın Osman ATAGÜN Kırşehir Ahi Evran Üniversitesi, Türkiye
Doç. Dr. Hüseyin Kamacı Yozgat Bozok Üniversitesi, Türkiye
Dr. Öğr. Üyesi Onur Oktay Bozok Üniversitesi, Türkiye
Makale Türü Açık Erişim Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
Dergi Adı Neural Computing and Applications (Q1)
Dergi ISSN 0941-0643 Dergi Bilgileri (2018)
Dergi Tarandığı Indeksler SCI-Expanded
Makale Dili İngilizce Basım Tarihi 05-2018
Kabul Tarihi – Yayınlanma Tarihi 27-08-2016
Cilt / Sayı / Sayfa 29 / 9 / 445–456 DOI 10.1007/s00521-016-2542-y
Makale Linki http://link.springer.com/10.1007/s00521-016-2542-y
UAK Araştırma Alanları
Cebir ve Sayılar Teorisi
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 Çağman and Enginoğlu (Comput Math Appl 59:3308–3314, ) 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
Products of soft matrices | Soft distributive max–min decision making | Soft matrix | Soft set
BM Sürdürülebilir Kalkınma Amaçları
Atıf Sayıları
Web of Science 37
Scopus 38
Google Scholar 70
Reduced soft matrices and generalized products with applications in decision making

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