Abstract: 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 higher-level 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.

Md Zahid Hasan, Shakhawat Hossain, Mohammad Shorif Uddin and Mohammad Shahidul Islam, “A Generic Approach for Weight Assignment to the Decision Making Parameters” International Journal of Advanced Computer Science and Applications(IJACSA), 10(11), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0101170

@article{Hasan2019,
title = {A Generic Approach for Weight Assignment to the Decision Making Parameters},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0101170},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0101170},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {11},
author = {Md Zahid Hasan and Shakhawat Hossain and Mohammad Shorif Uddin and Mohammad Shahidul Islam}
}