Evaluations of system performance and reliability under incomplete information environments

2021 Fiscal Year Final Research Report

• Project/Area Number: 18K04611
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 25010:Social systems engineering-related
• Research Institution: Okayama University
• Principal Investigator: Arizono Ikuo 岡山大学, 自然科学学域, 教授 (20175988)
• Co-Investigator(Kenkyū-buntansha): 竹本 康彦 近畿大学, 理工学部, 准教授 (70382257) ; 崎山 朋子 創価大学, 理工学部, 准教授 (30770052)
• Project Period (FY): 2018-04-01 – 2022-03-31
• Keywords: 不完全情報環境 / システム性能 / システム信頼性

Outline of Final Research Achievements

When making decisions about several problems in various systems, it is a realistic correspondence to make decisions based only on the limited information available. In order to make rational decisions, a scientific and systematic method for understanding the target system based on limited information is necessary. Considering this situation, this study discusses system analysis methods based on limited information in several systems, and decision-making methods based on the results of such analysis.

Free Research Field

経営工学，社会システム工学，自然科学

Academic Significance and Societal Importance of the Research Achievements

研究成果は，数理統計学，情報理論，統計力学，およびメタヒューリスティクスなどの概念を考察する問題の性質に合わせて適宜活用した成果である．すなわち，社会システム工学が取り扱うべき課題に対して，一定の理論背景をもった意思決定を行うための各種の方法が構築できた．