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Compromise Decisions. System Approach

机译:妥协决策。系统方法

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The problem of the construction of a system for making the compromise solution for subjects with different goals is considered. The problem is solved within the framework of a systemic approach. Procedures of decomposition and composition of partial criteria in multicriteria decision-making problems are described. A compromise solution can be obtained by extremizing the scalar convolution of partial criteria reflecting the degree of attaining goals of subjects. The fundamental role of constraints in optimization problems is shown. We describe types of scalar convolutions used in multicriteria problems. The concept of a nonlinear compromise scheme, based on the principle "away from restrictions" is formulated. Extremization of the objective function leads to the general compromise solution, which moves away to the greatest extent partial criteria from its constraints. Both tasks significant for the general application and the tasks with the main semantic essence of satisfying the individual advantages of the decision making person (DMP) are solved using a common ideological basis. The apparatus of a nonlinear compromise scheme, designed as a formalized tool for studying the system of decision-making and control systems with conflicting criteria enables the solving of multicriteria problems of a wide class. Multicriteria is the implementation of the principle of complementarity in the methodology of the study of complex systems. In general, a simultaneous description of a phenomenon (object) from several sides always gives a qualitatively new, more perfect imagination about the described phenomenon (object) in comparison with any "unilateral" description. So, even two flat images forming a stereo pair form a volumetric image of an object, not to mention potentials of the holography. The multi-criteria approach, giving a "stereoscopic" look at the estimation of the system functioning opens new ways for the perfection of complex control systems and decision making. For the integral perception of a complex system under different conditions of its operation it is necessary to apply the multi-criteria approach.
机译:考虑了制造具有不同目标的受试者的妥协解决方法的系统的构建问题。问题在系统方法的框架内得到解决。描述了多标准决策问题的分解过程和部分标准的组成。通过极其重向反映受试者目标的程度的部分标准的标准卷积来获得折衷解决方案。显示了约束在优化问题中的基本作用。我们描述了多标准问题中使用的标量卷曲的类型。基于“远离限制”的原理,制定了非线性折衷方案的概念。目标函数的极端化导致一般的折衷解决方案,从其约束中移动到最大程度的部分标准。使用普通思想基础解决了一般应用程序和具有满足决策人员(DMP)的各个优势的主要典型精华的任务。非线性折衷方案的装置,被设计为用于研究具有冲突标准的决策和控制系统系统的正式化工具,使得能够解决广泛阶级的多标准问题。多标准是在复杂系统研究的方法中实施互补原则。通常,与几个边缘的现象(物体)的同时描述总是给出关于所描述的现象(对象)的质量新的,更完美的想象力,与任何“单侧”描述相比。因此,即使形成立体对的两个平面图像也形成对象的体积图像,更不用说全息术的电位。多标准方法,给出“立体”看,估计系统功能的估计,打开了复杂控制系统的完善和决策的新方法。为了在不同条件下对复杂系统的积分感知,需要应用多标准方法。

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