Development of a tool to support nondominated tradeoffs in the post-model analysis environment

Abstract

This thesis proposes the method of finding nondominated solution sets in the following cases: i) qualitative objectives only exist ii) both quantitative objective and qualitative objectives exist. In this thesis, we develop expert system for automatic generation of judgment functions and automatic evaluation of a solution in terms of qualitative objectives and suggests the architecture of a DSS using PMA which is composed of expert system, database management system, model management system and PMA controller to provide some methods for tradeoffs and goal programming formulation. This thesis can be contributed to finding nondominated solution sets in PMA (0,t), and PMA (1,t) which integrates quantitative objective in optimization model with multiple qualitative objectives.