I*-Prefer: A Tool for Preference Model-Driven Decision Making
LI Tian-ying, Tong Li, Haihua Xie, Lin Liu · 2011
Abstract. Multi-criteria decision making problems exist everywhere. In a complex system, for all involved players, it is inevitable to face task/service selection situations where multiple qualities of tasks/services criteria need to be taken into account. In addition, complex interrelationships between different impact factors and actors need to be understood and traded off. In this paper, we present a tool called I*-Prefer which is represented with annotated NFR/i* framework. This framework uses goal and agent-based preference models to drive these decision making activities. Particularly, we describe the purpose and main features of the tool, and give a brief introduction of the extended i* framework which supports I*-Prefer analysis.