Page 67 - Trends in Science and Technology fo Sustainable Living

28 Fakultas Sains dan Teknologi
Universitas Terbuka (2023)

sesuai kebutuhan pengguna dengan mempertimbangkan lebih
banyak faktor dalam pengambilan keputusan. Hal ini disebabkan
pola data yang digali telah memiliki tanda atau pengenal sehingga
memudahkan untuk mengidentifikasi faktor atau fitur. Penggunaan
N-soft set pada data mining diharapkan dapat memberikan
wawasan baru dalam pengambilan berbagai jenis keputusan
dengan mempertimbangkan ketidakpastian, ambiguitas, dan
kompleksitas data.

Kata Kunci: N-soft sets, data mining, pengambilan keputusan

ABSTRACT

Decision making is an essential process in individual or group life.
N-soft set is an innovation in decision-making theory, particularly in
addressing uncertainty issues by representing data in various forms.
Several studies have combined N-soft set with other theories, but
no research that combines N-soft set with data mining. Therefore,
this study discusses the philosophy of collaboration between
the N-soft set and data mining and the approaches needed to
implement the N-Soft set into data mining methods. N-soft set can
be applied to model uncertainty and ambiguity in data, while data
mining can identify patterns and trends. Pattern discovery methods
in data mining, such as Association Rule mining, clustering, and
classification, can also utilize N-soft set representations. N-soft set
data mining collaboration enables the identification of relevant
patterns and relationships in data by considering the membership
levels of objects in relevant classes. Combining N-soft sets with data
mining can produce a more representative model according to user
needs by considering more factors in decision-making. Because the
pattern of data extracted already has a sign or identifier, making it
easier to identify factors or features. Using the N-soft set for data
mining is expected to provide new insights into making various
decisions by considering the data’s uncertainty, ambiguity, and
complexity.

Keywords: N-soft sets, data mining, decision making