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Cardinality inverse soft matrix theory and its applications in multicriteria group decision making       
Yazarlar
Hüseyin Kamacı
Yozgat Bozok Üniversitesi, Türkiye
Kader Saltık
Hürmet Fulya Akız
Yozgat Bozok Üniversitesi, Türkiye
Prof. Dr. Akın Osman ATAGÜN
Kırşehir Ahi Evran Üniversitesi, Türkiye
Özet
The main objective of this paper is to present a novel decision making algorithm using matrix representation of the inverse soft set defined in [10]. Therefore, we first introduce cardinality inverse soft matrix theory and its operations, products and algebraic structures in detail. Afterwards, an algorithmic solution employing the cardinality inverse soft matrix to find the optimum object and the ranking order of objects is proposed. The performance of algorithm named soft sum-row decision making algorithm is demonstrated by solving various decision problems. Also, we compare it with existing algorithms based on the soft set theory, soft matrix theory and inverse soft set theory. Moreover, we give Scilab codes of the algorithm and argue that this codes make the process of decision making composed of many objects, criteria and decision makers faster and easier.
Anahtar Kelimeler
Inverse soft set, cardinality inverse soft matrix, operations of cardinality inverse soft matrix, soft sum-row decision making
Makale Türü Özgün Makale
Makale Alt Türü SSCI, AHCI, SCI, SCI-Exp dergilerinde yayımlanan tam makale
Dergi Adı Journal of Intelligent Fuzzy Systems
Dergi ISSN 1064-1246
Dergi Tarandığı Indeksler SCI-Expanded
Dergi Grubu Q4
Makale Dili İngilizce
Basım Tarihi 03-2018
Cilt No 34
Sayı 3
Sayfalar 2031 / 2049
Doi Numarası 10.3233/JIFS-17876
Makale Linki http://www.medra.org/servlet/aliasResolver?alias=iospressdoi=10.3233/JIFS-17876
BM Sürdürülebilir Kalkınma Amaçları
Atıf Sayıları
WoS 15
SCOPUS 16
Google Scholar 25
Cardinality inverse soft matrix theory and its applications in multicriteria group decision making

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