CAJ | 학술논문

考虑复杂社会技术系统的特点,运用自适应神经模糊推理模型对提高公益科研机构的组织效率进行了实例研究.建立了针对公益科研机构员工激励决策的自适应模糊推理完整模型,利用调研数据及其处理结果验证了模型的有效性.该模型融合了神经网络的学习机制和模糊系统的语言推理能力,弥补了神经网络和模糊逻辑系统各自的不足.研究结果表明,自适应神经模糊推理模型适用于复杂社会技术系统,在解决管理领域的预测、评估和决策问题中有广阔的应用前景.
고필복잡사회기술계통적특점,운용자괄응신경모호추리모형대제고공익과연궤구적조직효솔진행료실례연구.건립료침대공익과연궤구원공격려결책적자괄응모호추리완정모형,이용조연수거급기처리결과험증료모형적유효성.해모형융합료신경망락적학습궤제화모호계통적어언추리능력,미보료신경망락화모호라집계통각자적불족.연구결과표명,자괄응신경모호추리모형괄용우복잡사회기술계통,재해결관리영역적예측、평고화결책문제중유엄활적응용전경.
The adaptive neural fuzzy inference system (ANFIS) is used to make a case study considering features of complex social-technical system with the target of increasing organizational efficiency of public scientific research institutions.An integrated ANFIS model is built and the effectiveness of the model is verified by means of investigation data and their processing results.The model merges the learning mechanism of neural network and the language inference ability of fuzzy system,and thereby remedies the defects of neural network and fuzzy logic system.Result of this case study shows that the model is suitable for complicated socio-technical systems and has bright application perspective to solve such problems of prediction,evaluation and policy-making in managerial fields.