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    • 53. 发明申请
    • INTELLIGENT SYSTEM AND FUZZY LOGIC BASED METHOD TO DETERMINE PROJECT RISK
    • 智能系统和基于FUZZY逻辑的确定项目风险的方法
    • US20100030609A1
    • 2010-02-04
    • US12183286
    • 2008-07-31
    • Sri RamanathanPadmashri SureshMatthew B. TrevathanBalaji Venkatraman
    • Sri RamanathanPadmashri SureshMatthew B. TrevathanBalaji Venkatraman
    • G06Q10/00
    • G06Q10/06G06Q10/063114G06Q10/06312G06Q10/0635
    • A method, service, and product for changing project length based on fuzzy logic techniques where a subject matter expert assigns a pre-determined risk rating to each of a set of tasks. A fuzzy engine assigns a human grammar to each of the pre-determined risk ratings for each of the set of tasks, the human grammar being defined by a numeric range and assigned to the risk rating for each value falling within the numeric range. The fuzzy engine determines which rules from a set of rules apply to the task with the assigned human grammar, the set of rules being preprogrammed into the fuzzy engine, which then evaluates the tasks with the assigned human grammar using the determined rules. The fuzzy engine thereafter creates an adjusted-time allocation for each task and creates an adjusted-task-length for the set of tasks based from all of the created adjusted time allocations.
    • 一种基于模糊逻辑技术改变项目长度的方法,服务和产品,其中主题专家将一个预定的风险评级分配给一组任务。 模糊引擎为每个任务集中的每个任务确定了每个预定风险等级的人类语法,人类语法由数字范围定义,并分配给属于数值范围内的每个值的风险等级。 模糊引擎确定来自一组规则中的哪些规则适用于具有分配的人类语法的任务,该组规则被预编程到模糊引擎中,然后该模块引擎使用所确定的规则使用所分配的人类语法来评估任务。 此后,模糊引擎为每个任务创建调整时间分配,并根据所创建的所有调整的时间分配为该组任务创建调整任务长度。