不同信息复杂度任务中专家评价方案的多功能方法

O. Nesterenko, I. Netesin, V. Polischuk, Yurij Selin
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引用次数: 1

摘要

该研究提出了一种多用途的专家评估方法,该方法基于应用投票方法、分析层次过程(AHP)和分析网络过程(ANP)来解决各种复杂程度的决策问题,取决于其描述的线性、层次或网络结构。基于面向图的可视化实现了AHP和ANP方案两两比较的简化和优化,提高了专家判断的一致性和兼容性。该方法已在国防规划领域得到检验。但它具有通用性,可以应用于各个学科领域的智能系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multifunctional Methodology of Expert Evaluation Alternatives in Tasks of Different Information Complexity
The study proposes a multipurpose methodology for expert evaluation of alternatives based on applying Voting methods, Analytical Hierarchy Process (AHP) and Analytic Network Process (ANP) for decision-making problems of various classes of complexity, depending on the linear, hierarchical or network structure of their description. Simplification and optimization of pairwise comparisons of alternatives in AHP and ANP and improving consistency and compatibility of expert judgments are achieved by visualization based on oriented graphs. The methodology has been tested in the field of defense planning. But it has a universal character and can be applied in intelligent systems for various subject areas.
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