TITLE:
Alternatives Selection Using GORE Based on Fuzzy Numbers and TOPSIS
AUTHORS:
Arfan Mansoor, Detlef Streitferdt, Franz-Felix Füßl
KEYWORDS:
Decision Making, GORE, TOPSIS, Fuzzy Numbers
JOURNAL NAME:
Journal of Software Engineering and Applications,
Vol.8 No.7,
July
31,
2015
ABSTRACT: Context
and Motivation: The notion of goal and goal models is ideal for the alternative
systems. Goal models provide us different alternatives during goal oriented
requirements engineering. Question/Problem: Once we find different
alternatives, we need to evaluate these alternatives to select the best one.
Ideas: The selection process consists of two main parts. In first part of the
selection process among alternatives, we will use techniques in which we
establish some evaluation criteria. The evaluation criteria are based on leaf
level goals. Stakeholders are involved to contribute their opinions about the
evaluation criteria. The input provided by various stakeholders is then
converted into quantifiable numbers using fuzzy triangle numbers. After applying
the defuzzification process on fuzzy triangle numbers we get scores (weights)
for each criteria. In second part, these scores are used in the selection
process to select the best alternative. Contribution: The two steps selection
process helps us to select the best alternative among many alternatives. We
have described the process and applied it to “cyclecomputer” selection case
study.