A Fuzzy Approach to Project Success: Measuring What Matters
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arXiv
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| Hauptverfasser: | , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| author | Granja-Correia, João Hernández-Linares, Remedios Ferranti, Luca Rego, Arménio |
| author_facet | Granja-Correia, João Hernández-Linares, Remedios Ferranti, Luca Rego, Arménio |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_12653 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A Fuzzy Approach to Project Success: Measuring What Matters Granja-Correia, João Hernández-Linares, Remedios Ferranti, Luca Rego, Arménio Software Engineering Computation and Language H.4.m 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. |
| title | A Fuzzy Approach to Project Success: Measuring What Matters |
| topic | Software Engineering Computation and Language H.4.m |
| url | https://arxiv.org/abs/2507.12653 |