用模糊逻辑评估项目成功，更关注用户长期影响。
A Fuzzy Approach to Project Success: Measuring What Matters
- 构建分层模糊系统，优先衡量用户持续受益。
- 弱化利益相关者满意度等次要指标的影响。
- 适合复杂社会项目评估，可推广至多领域研究。
本文提出一种融合模糊逻辑的项目成功评估新方法，以应对传统李克特量表忽视项目成功情境依赖性和多维度特征的问题。所提出的分层一型Mamdani模糊系统将重点放在终端用户可持续正向影响上，降低对利益相关者满意度、内部项目成功等次级结果的权重。该动态评估方式可能更准确反映真实项目成效，并具备在复杂评价场景中推广应用的潜力。未来研究将聚焦于实证验证及模糊逻辑在社会科学中的更广泛应用。
原文摘要 · Abstract (English)
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.
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