At last this paper puts forward the solving procedure of knowledge based MADM.
最后提出了基于知识的多目标属性决策问题的求解流程。
This is the overarching discipline that oversees all aspects of every phase in the MADM lifecycle.
这是用来监督MADM生命周期中每个阶段中所有方面的全部原则。
Secondly, to extract learning samples from the MADM problem, an approach to estimate the utility functions for attributes is presented.
其次，提出了基于属性效用函数估计的学习样本构造方法，从决策问题本身抽取学习样本。
In practice, this classification is in line with the two aspects of problem solving: MADM for the selection (evaluation), MODM for the design.
在实际中，这种分类非常符合问题求解的两个方面：多属性决策用于选择(评价)，多目标决策用于设计。
Two models are constructed for MADM with incomplete information about three parameters, attribute weights, attribute values and utility values of alternatives.
对于多属性决策的关于属性权重、属性指标值和方案效用值三个参数的不完全信息，建立了两种决策模型。
One of the essential tenets of IBM's SOA Foundation is the four-phased life cycle that can be represented through the MADM (model, assemble, deploy, and manage) honeycomb view.
分为四个阶段的生命周期，是IBMsoa基础的重要原则之一，它可以用MADM(建模、组装、部署和管理)蜂窝状视图表示。
All the phases in MADM are governed by an overarching governance and best practices discipline that provides a framework to carefully oversee the activities in each of the phases.
MADM的所有阶段都是由一个全盘治理和最佳实践原则控制的，该原则提供的框架会仔细监视每个阶段的活动。
As an important method in MADM, the ELECTRE method has also played an extensive and successful role in agriculture, energy, environment, finance, project management, and other fields.
作为多属性决策中的一种重要方法，ELECTRE方法自提出以来也在农业、能源、环境、金融、项目管理等领域获得了广泛而成功的应用。
The multiple attribute decision-making (MADM) methodologies have been successfully applied in many real-life problems in engineering, finances, market analysis, management and others.
多属性决策方法已经成功地应用于工程、经济、市场分析、管理等实际问题中。
This paper introduces a FAHP based MADM method in urban power system planning and the procedure of applying this method. The method will be a new way for urban power system planning MADM.
介绍了基于三角模糊数的模糊层次分析法，及其在某小区电网规划方案综合评判中应用的过程，为城市电网规划决策综合评判提供了一种新方法。
In recent years, some rough set models are applied to deal with the MADM problems, which provides the satisfied decision rules to the decision maker and make the functions in real-life practice.
近年来，涌现了很多的粗糙集模型来解决多属性决策问题，最后得到决策者非常满意的决策规则，并用于生活实践之中。
In recent years, some rough set models are applied to deal with the MADM problems, which provides the satisfied decision rules to the decision maker and make the functions in real-life practice.
近年来，涌现了很多的粗糙集模型来解决多属性决策问题，最后得到决策者非常满意的决策规则，并用于生活实践之中。
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