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机构地区:[1]广东工业大学计算机学院,广东广州510006
出 处:《智能系统学报》2011年第3期272-278,共7页CAAI Transactions on Intelligent Systems
基 金:广东省自然科学基金资助项目(8151009001000041)
摘 要:面对海量的房子出租信息,租房者所考虑的因素多而复杂,常常难以决策出最优策略.而且租房者的目标需求与现有出租房的条件常常存在差距,这便构成了租房矛盾问题.为此,引入专门解决不相容问题的可拓策略生成方法和借助计算机技术来构建租房策略生成系统,最终辅助租房者作出租房决策.实验结果表明,该系统能智能化地生成满足或者接近租房者需求的租房策略.In the face of massive amounts of house-rental information, the tenants have to consider so many complicated factors before making their decisions that they always have difficulty optimizing their decisions. In addition, there is frequently a gap between the target needs of renters and the conditions of the existing rental housing, which is the cause for the present conditions. To this end, the extension strategy generating method, which is dedicated to resolve the incompatibility and provide computer technology to build a house-renting strategy generation system and ultimately to assist tenants in making rental decisions, was introduced. Experimental results show that this system can generate strategies intelligently which meet or come close to meeting the tenants' needs.
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