Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Requirements engineering: a roadmap
Proceedings of the Conference on The Future of Software Engineering
Requirements Engineering and Agile Software Development
WETICE '03 Proceedings of the Twelfth International Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises
Tropos: An Agent-Oriented Software Development Methodology
Autonomous Agents and Multi-Agent Systems
Priority Assessment of Software Requirements from Multiple Perspectives
COMPSAC '04 Proceedings of the 28th Annual International Computer Software and Applications Conference - Volume 01
First Course On Fuzzy Theory And Applications.
First Course On Fuzzy Theory And Applications.
Negotiation in the Requirements Elicitation and Analysis Process
ASWEC '08 Proceedings of the 19th Australian Conference on Software Engineering
Requirements Prioritization Based on Benefit and Cost Prediction: An Agenda for Future Research
RE '08 Proceedings of the 2008 16th IEEE International Requirements Engineering Conference
An agent-oriented meta-model for enterprise modelling
ER'05 Proceedings of the 24th international conference on Perspectives in Conceptual Modeling
Hi-index | 0.00 |
The success of a system depends upon how effectively it accomplishes its intended purpose by meeting all stakeholders' concerns pertaining to conflicting requirements such as cost, size, time, performance etc. Conflicts occur because the requirements are individually refined, without consideration to how they may impact the other stakeholders in the system. As the stakeholders' concerns are uncertain and subjective in nature, this paper proposes a novel approach to prioritize the conflicting requirements using Fuzzy Analytic Hierarchy Process and an alpha cut. A total compatible ordering is achieved to resolve the conflicting preferences of the stakeholders. It assists the project managers to develop a system that meets the expectations of all the stakeholders. A case study of the Travel Management Planning Website is presented to illustrate the application of the methodology.