The mean operators and generalized products of fuzzy soft matrices and their applications in MCGDM
Yazarlar (4)
Subramanian Petchimuthu University College Of Engineering Nagercoil, Hindistan
Harish Garg Thapar Institute Of Engineering & Technology, Hindistan
Doç. Dr. Hüseyin Kamacı Yozgat Bozok Üniversitesi, Türkiye
Prof. Dr. Akın Osman ATAGÜN Kırşehir Ahi Evran Üniversitesi, Türkiye
Makale Türü Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
Dergi Adı Computational and Applied Mathematics (Q1)
Dergi ISSN 2238-3603 Dergi Bilgileri (2020)
Dergi Tarandığı Indeksler SCI-Expanded
Makale Dili İngilizce Basım Tarihi 05-2020
Kabul Tarihi 07-01-2020 Yayınlanma Tarihi 12-02-2020
Cilt / Sayı / Sayfa 39 / 2 / 1–32 DOI 10.1007/s40314-020-1083-2
Makale Linki http://link.springer.com/10.1007/s40314-020-1083-2
UAK Araştırma Alanları
Cebir ve Sayılar Teorisi
Özet
In this paper, we first generalize the products of two fuzzy soft matrices. Through these generalizations, three or more fuzzy soft matrices in the different types can be multiplied. Furthermore, we introduce the mean operators and normalized fuzzy weighted mean operators of the fuzzy soft matrices. We discuss the theoretical aspects of these operators. We describe the multicriteria group decision making (MCGDM) problem with different evaluation criterion sets, and then we create two algorithms using the mean operators and generalized products of fuzzy soft matrices to deal with such problems. To show the advantages of the proposed ones, we present the comparison results with some of the preexisting decision making algorithms of fuzzy soft sets. Finally, we create Scilab codes of our algorithms to expedite and facilitate the decision making process.
Anahtar Kelimeler
Decision making | Fuzzy soft matrix | Fuzzy soft set | Mean operators of fuzzy soft matrices | Products of fuzzy soft matrices
BM Sürdürülebilir Kalkınma Amaçları
Atıf Sayıları
Web of Science 49
Scopus 64
Google Scholar 80
The mean operators and generalized products of fuzzy soft matrices and their applications in MCGDM

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