期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2019
卷号：10
期号：11
页码：512-519
出版社：Science and Information Society (SAI)
摘要：Weight assignment to the decision parameters is a
crucial factor in the decision-making process. Any imprecision in
weight assignment to the decision attributes may lead the whole
decision-making process useless which ultimately mislead the
decision-makers to find an optimal solution. Therefore,
attributes’ weight allocation process should be flawless and
rational, and should not be just assigning some random values to
the attributes without a proper analysis of the attributes’ impact
on the decision-making process. Unfortunately, there is no
sophisticated mathematical framework for analyzing the
attribute’s impact on the decision-making process and thus the
weight allocation task is accomplished based on some human
sensing factors. To fill this gap, present paper proposes a weight
assignment framework that analyzes the impact of an attribute
on the decision-making process and based on that, each attribute
is evaluated with a justified numerical value. The proposed
framework analyzes historical data to assess the importance of
an attribute and organizes the decision problems in a
hierarchical structure and uses different mathematical formulas
to explicit weights at different levels. Weights of mid and higherlevel
attributes are calculated based on the weights of root-level
attributes. The proposed methodology has been validated with
diverse data. In addition, the paper presents some potential
applications of the proposed weight allocation scheme.
关键词：Multiple attribute decision problem; average term
