Sains Malaysiana 43(5)(2014):
799–805
Pemodelan
Titik Data Kabur Teritlak
(Generalized Fuzzy Data Point Modeling)
ROZAIMI ZAKARIA*
& ABD. FATAH WAHAB
Jabatan Matematik, Fakulti Sains dan Teknologi, Universiti
Malaysia Terengganu (UMT)
21030 Kuala Terengganu, Terengganu, Malaysia
Diserahkan: 25 Januari 2013/Diterima: 26 Ogos 2013
ABSTRAK
Di dalam kertas ini, pendekatan dalam mentakrifkan ketakpastian
titik data melalui pendekatan konsep nombor kabur yang sedia ada dapat
diitlakkan. Pengitlakan ini termasuk pentakrifan ketakpastian data yang akan
menjadi titik data kabur (titik kawalan kabur) selepas ditakrifkan oleh konsep
nombor kabur. Kemudian, kajian ini juga membincangkan tentang proses
pengkaburan (operasi potongan-alfa) terhadap titik data kabur tersebut dalam
bentuk segitiga nombor kabur diiringi dengan beberapa teorem dan juga
pembuktiannya. Selain itu, kami juga turut memodelkan titik data kabur tersebut
melalui fungsi lengkung yang sedia ada iaitu fungsi lengkung Bezier. Selepas
itu, turut dicadangkan juga ialah proses penyahkaburan terhadap titik data
kabur selepas operasi potongan-alfa diimplementasikan bagi memperoleh
penyelesaian titik data kabur rangup sebagai keputusan akhir yang turut
dimodelkan melalui fungsi lengkung Bezier dengan disertai beberapa teorem bagi
memahami bentuk data tersebut.
Kata kunci: Lengkung kabur; nombor kabur; operasi potongan-alfa;
penyahkaburan; titik data kabur
ABSTRACT
In this paper, the approach in defining the uncertainty data
points through the concept of the existing fuzzy numbers can be generalized.
This generalization includes the defining uncertainty data which will become
fuzzy data point (fuzzy control point) after being defined by the fuzzy numbers
concepts. Then, this study also discusses the fuzzification process (alpha-cut
operation) of the fuzzy data points in the form of triangular fuzzy numbers
that was accompanied by some theorems and their proofs. In addition, we also
model the fuzzy data points through the existing curve function of Bezier curve
function. Then, we also proposed a defuzzification process which was applied
towards the fuzzy data points after the fuzzification process to obtain crisp
fuzzy data points solution as the final result which was being modeled by using
the Bezier curve function jointly with some theorems for more understanding.
Keywords: Alpha-cut operation; defuzzification;
fuzzy curve; fuzzy data points; fuzzy number
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*Pengarang
untuk surat-menyurat; email: rozaimi_z@yahoo.com
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