Pengambilan Keputusan Incomplete N-Soft Sets Pada Data Untuk Mengukur Indikator Sustainable Development Goals

Data dapat dibedakan berdasarkan kejelasan tipe data yaitu data pasti dan data tidak pasti. Data pasti merupakan data yang secara makna tidak ambigu. Contohnya, data pribadi mahasiswa seperti nama, usia, latar belakang pendidikan, dan alamat. Sebaliknya, data yang tidak pasti merupakan data yang secara pemaknaan dapat lebih dari satu interpretasi. Contohnya, perempuan cantik, lelaki tinggi, sementara penilaian cantik dan tinggi relatif untuk setiap individu. Contoh lain dalam pengambilan keputusan bisnis antara lain mitra terpercaya, rekan kerja penuh tanggung jawab, konsumen potensial. Meskipun data dapat bersifat tidak tentu dalam hal nilai namun teknik dan model penyelesaian masalahnya harus tetap runut dan dapat dipertanggungjawabkan secara ilmiah. Diantaranya, probabilitas, interval matematika, fuzzy sets, rough sets, vague sets, dan soft sets serta perluasan dan kombinasi dari berbagai cabang ilmu lainnya

Neutrosophic Multi-Criteria Decision Making

The notion of a neutrosophic quadruple BCK/BCI-number is considered in the first article (“Neutrosophic Quadruple BCK/BCI-Algebras”, by Young Bae Jun, Seok-Zun Song, Florentin Smarandache, and Hashem Bordbar), and a neutrosophic quadruple BCK/BCI-algebra, which consists of neutrosophic quadruple BCK/BCI-numbers, is constructed. Several properties are investigated, and a (positive implicative) ideal in a neutrosophic quadruple BCK-algebra and a closed ideal in a neutrosophic quadruple BCI-algebra are studied. Given subsets A and B of a BCK/BCI-algebra, the set NQ(A,B), which consists of neutrosophic quadruple BCK/BCInumbers with a condition, is established. Conditions for the set NQ(A,B) to be a (positive implicative) ideal of a neutrosophic quadruple BCK-algebra are provided, and conditions for the set NQ(A,B) to be a (closed) ideal of a neutrosophic quadruple BCI-algebra are given. Techniques for the order of preference by similarity to ideal solution (TOPSIS) and elimination and choice translating reality (ELECTRE) are widely used methods to solve multicriteria decision-making problems. In the second research article (“Decision-Making with Bipolar Neutrosophic TOPSIS and Bipolar Neutrosophic ELECTRE-I”), Muhammad Akram, Shumaiza, and Florentin Smarandache present the bipolar neutrosophic TOPSIS method and the bipolar neutrosophic ELECTRE-I method to solve such problems. The authors use the revised closeness degree to rank the alternatives in the bipolar neutrosophic TOPSIS method. The researchers describe the bipolar neutrosophic TOPSIS method and the bipolar neutrosophic ELECTRE-I method by flow charts, also solving numerical examples by the proposed methods and providing a comparison of these methods. In the third article (“Interval Neutrosophic Sets with Applications in BCK/BCI-Algebra”, by Young Bae Jun, Seon Jeong Kim and Florentin Smarandache), the notion of (T(i,j),I(k,l),F(m,n))-interval neutrosophic subalgebra in BCK/BCI-algebra is introduced for i,j,k,l,m,n infoNumber 1,2,3,4, and properties and relations are investigated. The notion of interval neutrosophic length of an interval neutrosophic set is also introduced, and the related properties are investigated