대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)
- 대한전기학회 1993년도 하계학술대회 논문집 A
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- Pages.383-386
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- 1993
퍼지 가중 평균을 이용한 다중 센서 데이타 융합
Multisensor Data Combination Using Fuzzy Weighted Average
- Kim, Wan-Joo (Dept of Electrical Engineering, KAIST) ;
- Ko, Joong-Hyup (Dept of Electrical Engineering, KAIST) ;
- Chung, Myung-Jin (Dept of Electrical Engineering, KAIST)
- 발행 : 1993.07.18
초록
In this paper, we propose a sensory data combination method by a fuzzy number approach for multisensor data fusion. Generally, the weighting of one sensory data with respect to another is derived from measures of the relative reliabilities of the two sensory modules. But the relative weight of two sensory data can be approximately determined through human experiences or insufficient experimental data without difficulty. We represent these relative weight using appropriate fuzzy numbers as well as sensory data itself. Using the relative weight, which is subjective valuation, and a fuzzy-numbered sensor data, the fuzzy weighted average method is used for a representative sensory data. The manipulation and calculation of fuzzy numbers can be carried out using the Zadeh's extension principle which can be approximately implemented by the
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