科技与经济
科技與經濟
과기여경제
SCIENCE & TECHNOLOGY AND ECONOMY
2013年
6期
16-20
,共5页
粒计算%信息粒化%Multi-Agent%决策算法
粒計算%信息粒化%Multi-Agent%決策算法
립계산%신식립화%Multi-Agent%결책산법
granular computing%Information granulating%Multi-Agent%decision algorithm
为了克服单个Agent知识的局限性,提高系统决策的可靠性,提出了一种基于证据推理和粒计算的Multi-Agent决策信息融合算法,并对Multi-Agent合作决策进行了定义和描述。Multi-Agent决策融合划分为观测和决策两个阶段,观测Agent从环境信息中提取特征向量作为输入,信息粒化后降低了合成计算的复杂度。
為瞭剋服單箇Agent知識的跼限性,提高繫統決策的可靠性,提齣瞭一種基于證據推理和粒計算的Multi-Agent決策信息融閤算法,併對Multi-Agent閤作決策進行瞭定義和描述。Multi-Agent決策融閤劃分為觀測和決策兩箇階段,觀測Agent從環境信息中提取特徵嚮量作為輸入,信息粒化後降低瞭閤成計算的複雜度。
위료극복단개Agent지식적국한성,제고계통결책적가고성,제출료일충기우증거추리화립계산적Multi-Agent결책신식융합산법,병대Multi-Agent합작결책진행료정의화묘술。Multi-Agent결책융합화분위관측화결책량개계단,관측Agent종배경신식중제취특정향량작위수입,신식립화후강저료합성계산적복잡도。
In order to improve the reliability of the decision-making and overcome the knowledge limitation of a single agent,this paper introduced an information fusion model based on evidence reasoning and granular computing,and defined the cooperative deci-sion-making of Multi-Agent. The decision making fusion has been divided into two stages of observing and decision-making. The obser-vation Agent takes feature vectors as inputs from environment information,and the result is that the information granulation method in-troduced in this paper can reduce the complexity of synthetic computation effectively.