# A Fuzzy Approach to Project Success: Measuring What Matters

arXiv: https://arxiv.org/abs/2507.12653 · HTML: https://mlsanity.com/paper/2507.12653/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 1 of its 30 references that are in the map.
- First posted on arXiv 16 Jul 2025.

## Builds on (most cited first, 1 of 1)

- [FuzzyLogic.jl: a Flexible Library for Efficient and Productive Fuzzy Inference](https://mlsanity.com/paper/2306.10316/) (2023)

## Abstract (arXiv)

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.