Scholarlink

<p>The article proposes an approach to integrating a fuzzy cognitive map (FCM) and the Bellman–Zadeh principle of decision making under uncertainty to select control options for a generalized dynamic system, taking into account the mutual influences of criteria and controlled variables. To coordinate the results of modeling using the FCM and the axiomatics of the Bellman–Zadeh principle, a membership function to perfection is introduced, which ensures the aggregation of the criteria vector by crossing the corresponding fuzzy sets. The proposed approach is illustrated by an example of comparing reliability management scenarios for a motor transport enterprise.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Fuzzy Scenario Analysis of Generalized Dynamic Systems

  • 期刊论文

  • 发表日期：

    2026年1月1日

查看全文
  • A. P. Rotshtein,
  • A. A. Kashkanov,
  • O. V. Zelinska,
  • D. I. Katielnikov

摘要

The article proposes an approach to integrating a fuzzy cognitive map (FCM) and the Bellman–Zadeh principle of decision making under uncertainty to select control options for a generalized dynamic system, taking into account the mutual influences of criteria and controlled variables. To coordinate the results of modeling using the FCM and the axiomatics of the Bellman–Zadeh principle, a membership function to perfection is introduced, which ensures the aggregation of the criteria vector by crossing the corresponding fuzzy sets. The proposed approach is illustrated by an example of comparing reliability management scenarios for a motor transport enterprise.