Rating and Control Mechanisms Design in the Program "Research of Dynamic Systems"

A. Alekseev, A. Salamatina, T. Kataeva
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引用次数: 4

Abstract

Development a computer-based platform for creating automated rating and control systems of any complex objects is particular importance in the business informatics domain. The RDS-program (Research of Dynamic Systems) has been selected as a platform for software prototyping of rating and control systems. To carry out operative prototyping of rating and control systems for complex evaluation of complex objects, the following blocks and libraries were created in the RDS program: a library of data input blocks about the status of individual criteria and a library of information aggregation blocks. A combination of these blocks allows for creating a rating and control system for a complex object of any form, degree and source of uncertainty. To convert quantitative parameters from the phase space to the criterial one, three blocks are implemented for selecting the function type such as: increasing (linear, power, S-shaped, logarithmic, and exponential), decreasing (similar functions, but Z-shaped ones instead of the S-shaped function) and mixed (trapezoidal and bell-shaped). To estimate qualitative parameters, four blocks are implemented for assigning accurate estimates (point values), intervals, fuzzy values without constraints on the membership function or those with special constraints, as well as F-Fuzzy values. The defined matrix mechanisms of complex evaluation are as follows: the tree fuzzy rating mechanism employing an additive-multiplicative approach and two max-min approaches to set theoretic operations, as along with two continuous complex evaluation mechanisms. Six model examples studied in the paper demonstrate procedures of aggregating two criteria with accurate real values and with different uncertainty such as interval values, fuzzy values, and F-Fuzzy values.
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“动态系统研究”项目评定与控制机制设计
在商业信息学领域,开发一个基于计算机的平台来创建任何复杂对象的自动评级和控制系统是特别重要的。rds计划(动态系统研究)已被选为额定和控制系统的软件原型设计平台。为了对复杂对象进行复杂评估的评级和控制系统进行可操作的原型设计,在RDS程序中创建了以下模块和库:关于单个标准状态的数据输入模块库和信息聚合模块库。这些模块的组合允许为任何形式、程度和不确定性来源的复杂对象创建评级和控制系统。为了将定量参数从相空间转换为准则空间,实现了三个模块来选择函数类型:递增(线性、幂、s型、对数和指数)、递减(类似函数,但不是s型函数,而是z型函数)和混合(梯形和钟形函数)。为了估计定性参数,实现了四个块来分配准确的估计(点值),区间,不受隶属函数约束或具有特殊约束的模糊值以及F-Fuzzy值。定义了复杂评价的矩阵机制:采用一种加乘方法和两种极大极小方法进行集合论运算的树模糊评价机制,以及两种连续复杂评价机制。本文研究了6个模型实例,演示了区间值、模糊值和F-Fuzzy值等具有准确实值和不同不确定性的两个准则的聚合过程。
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