I*-Prefer: A Tool for Preference Model-Driven Decision Making

نویسندگان

  • Tianying Li
  • Tong Li
  • Haihua Xie
  • Lin Liu
چکیده

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.

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تاریخ انتشار 2011