A Multi-Criteria Evaluation Model for Developmental Effectiveness in Cultural and Creative Industries

摘要

Artificial intelligence is a scientific tool that is both supportive and has many applications and has been widely applied in different domains and industries. In the globalize competitive environment, raising firm competitiveness and reducing investment risk are serious issues that must be confronted by decision makers. Artificial intelligence helps enhance industrial development by providing the benefits of lending support to management, aiding in decision making, assisting in the design process, and helping in practical applications. In recent years, Taiwan has been actively promoting the implementation of the cultural and creative industries in developments from various sectors, and has established relevant subsidy policies. The goal is to improve Taiwan's influence in the knowledge economy. Selecting a set of proper tools to evaluate effectiveness in industrial development and policy promotion will help enhance overall execution efficiency and improve final results. This research uses the fuzzy logic theory in artificial intelligence to process the imprecise and vague linguistic meanings in decision making. By further combining the group decision-making technique from Delphi, we developed a multi-criteria evaluation model for developmental effectiveness in the cultural and creative industries. This model evaluates the developmental effectiveness of the inputs from each sector into the cultural and creative industries through first performing a quantified value transformation process by the fuzzy logic inference system. Decision making units may base the evaluation upon the quantified values. Lastly, this model is presented via a case study to illustrate the use of this model and to demonstrate the capability of the model.