【摘要】 目前,许多领域的研究进入到复杂系统阶段,如对人脑的研究,对金融系统、社会经济系统的研究。对于复杂系统而言,为了获取目标对象的准确、完整的信息,传感系统需要达到网络化、智能化等更高的要求。为了满足这一需要,一种集定性信息和定量信息表示为一体的新型智能传感器—模糊传感器应运而生,并得到了国内外学者的认可与关注。由于模糊传感器的研究尚未形成完整的理论体系,因此至今在理论与实际工程应用方面仍未取得实质性进展。本文从模糊传感器的定义出发,讨论了模糊传感器的发展历史,研究了模糊传感器的基础理论即符号化测量理论及模糊传感器语义概念生成及融合方法的发展。文中介绍了几种实际应用的模糊传感器如:模糊色彩传感器、模糊舒适度传感器等的研究进展情况。展望了模糊传感器的发展趋势与未来。更多还原

【Abstract】 At present time, the researches in many fields such as human brain, financial systems and social economic systems have become highly complex. These developments create the demand that sensor systems need to be networked and intelligent, so that they could collect complete and accurate information regarding those objects. As a result, a new type sensor, the fuzzy sensor, has been developed. Its capability in presenting both quantitative and qualitative information has received attention from the academia. The research on the fuzzy sensor is still in the early stage, and has not formed a complete theoretical framework. Thus the theoretical research and practical usage of this technology are still limited. The paper starts with an endeavor to introduce the definition of fuzzy sensor, and then discusses its development history and status. It goes on to study the fundamental theories that support fuzzy sensor, including the theory of symbolic measurement and the methodology of fuzzy sensor linguistic concept creation. In addition, the paper also reviews a few current and potential applications of fuzzy sensors, such as fuzzy color sensor and fuzzy comfort sensor.更多还原