Browsing by Author "Fateen Najwa Azman"

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    Circumcenter of centroid of fuzzy number for identifying risk factors of obesity: a qualitative evaluation
    (Quality and Quantity, 2016) Lazim Abdullah; Fateen Najwa Azman
    Obesity and its associated health problems have been considered as a burden to health care providers where treatment may incur tremendous loss of public fund. Recent studies reveal that authentic factors contributed to obesity are very much inconclusive. Magnitude of risks for each factor remains unknown. This paper aims to propose risk values for the selected risk factors contributed to the development of obesity using an approach of ranking fuzzy number. The method of ranking fuzzy numbers based on circumcenter of centroid is proposed. The proposed model, which takes into account spread, area, and distance of trapezoidal fuzzy numbers was implemented to the case of obesity. Three experts were invited to provide qualitative linguistic evaluation over the importance of risk factors toward development of obesity. The risk values obtained from the proposed method unveiled that the factor of family history is the highest risk factor followed by sedentary life style. The results also indicate that gender is lowest risk factor. An implication for the general public is that the importance of knowing the status of family history and also the awareness in practising healthy life style.
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    Ranking fuzzy numbers using center-based methods and its application
    (Terengganu: Universiti Malaysia Terengganu, 2014-02) Fateen Najwa Azman
    Ranking fuzzy numbers has become an important process in decision making. Many ranking methods have been proposed thus far and one of the commonly used is centroid method. However, there is still no agreement on the method that can always provide a satisfactory solution to every situation. This research aims to propose a new ranking fuzzy numbers method using circumcenter, orthocenter and incenter of centroids. The calculation for the circumcenter, orthocenter and incenter is derived from a trapezoidal of fuzzy numbers which is split into three parts of triangle and series of proposed algorithms. The new proposed algorithms not only compute the centerbased, but also consider the height, distance, spread and area of trapezoidal fuzzy numbers. An implementation of the proposed algorithms in a few examples of ranking fuzzy numbers and decision making problem is given to illustrate the proposed methods.