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Wise healthcare is a typical applica-tion of wireless sensor network (WSN), which uses sensors to monitor the physiological state of nursing targets and locate their position in case of an emergency situation. The location of targets need to be determined and report-ed to the control center,and this leads to the localization problem. While localization in healthcare field demands high accuracy and regional adaptability, the information process-ing mechanism of human thinking has been in-troduced,which includes knowledge accumu-lation, knowledge fusion and knowledge ex-pansion. Furthermore, a fuzzy decision based localization approach is proposed. Received signal strength (RSS) at references points are obtained and processed as position relation-ship indicators, using fuzzy set theory in the knowledge accumulation stage; after that, op-timize degree of membership corresponding to each anchor nodes in different environments during knowledge fusion; the matching degree of reference points is further calculated and sorted in decision-making, and the coordinates of several points with the highest matching degree are utilized to estimate the location of unknown nodes while knowledge expansion. Simulation results show that the proposed al-gorithm get better accuracy performance com-pared to several traditional algorithms under different typical occasions.