TY  - JOUR
PY  - 2014//
TI  - Ranking of causes lead to road accidents using a new linguistic variable in interval type-2 fuzzy entropy weight of a decision making method
JO  - AIP conference proceedings
A1  - Zamri, Nurnadiah
A1  - Abdullah, Lazim
SP  - 1111
EP  - 1116
VL  - 1605
IS  - 
N2  - A linguistic data is a variable whose value is naturally language phase in dealing with too complex situation to be described properly in conventional quantitative expressions. However, all the past researchers on linguistic variables used positive fuzzy numbers in expressing meaning of symbolic word. It seems that positive and negative numbers were never put concurrently in defining linguistic variables. Accordingly, we intend to construct a new positive and negative linguistic variable in interval type-2 fuzzy entropy weight for interval type-2 fuzzy TOPSIS (IT2 FTOPSIS). This paper uses a new linguistic variable in interval type-2 fuzzy entropy weight to capture the problems on reducing number of road accidents due to all the previously mentioned methods had no discussion about ranking of factors associated with road accidents. Specifically the objective of this paper is to establish rankings of the selected factors associated with road accidents using a new positive and negative linguistic variable and interval type-2 fuzzy entropy weight in interval type-2 fuzzy TOPSIS. This new method is hoped can produce an optimal preference ranking of alternatives in accordance with a set of criterion wise ranking in selection of causes that lead to road accidents. The proposed method produces actionable results that laid the decision-making process. Besides, it does not require a complicated computation procedure and will be beneficial to decision analysis.<p/>  <p>Language: en</p>
LA  - en
SN  - 0094-243X
UR  - http://dx.doi.org/10.1063/1.4887746
ID  - ref1
ER  -