A Fuzzy Approach to Project Success: Measuring What Matters

TL;DR

This paper proposes a fuzzy logic-based method for evaluating project success, emphasizing sustained positive impact over traditional metrics, aiming for a more context-sensitive and adaptable assessment.

Contribution

It introduces a hierarchical fuzzy system to measure project success, addressing limitations of Likert-scale measures and enhancing evaluation accuracy.

Findings

Fuzzy logic provides a nuanced measure of project success.

Prioritizes end-user impact over secondary outcomes.

Potential for broader application in social science evaluations.

Abstract

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.