A Fuzzy Approach to Project Success: Measuring What Matters
This work addresses project evaluation for researchers and practitioners, but it is incremental as it builds on existing constructs without empirical validation.
The paper tackles the problem of evaluating project success by introducing a fuzzy logic approach that prioritizes sustained positive impact for end-users, aiming to provide a more accurate measure compared to traditional Likert-scale methods.
This paper introduces a novel approach to project success evaluation by integrating fuzzy logic into an existing construct. Traditional Likert-scale measures often overlook the context-dependent and multifaceted nature of project success. The proposed hierarchical Type-1 Mamdani fuzzy system prioritizes sustained positive impact for end-users, reducing emphasis on secondary outcomes like stakeholder satisfaction and internal project success. This dynamic approach may provide a more accurate measure of project success and could be adaptable to complex evaluations. Future research will focus on empirical testing and broader applications of fuzzy logic in social science.