在一般化直觉模糊环境中三方决策:调查和挑战
Juanjuan Ding1, Chao Zhang1, Deyu Li1
1School of Computer and Information Technology, Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education, Shanxi University, Taiyuan, 030006 Shanxi China.
概括
一般化直觉模糊 (IF) 集增强了复杂问题的三向决策方法 (3WD). 本综述探讨了基于IF的3WD在不确定的决策中取得的进展,应用和未来方向.
科学领域:
- 决策科学 决策科学
- 模糊的数学 模糊的数学
- 人工智能的人工智能
背景情况:
- 传统的决策方法与不确定的和模两可的信息作斗争.
- 三向决策 (3WD) 方法为基于风险的决策提供了一个框架.
- 直觉模糊集合 (IFS) 理论提供了一个比传统模糊集合更细致的不确定性方法.
研究的目的:
- 在一般化直觉模糊 (IF) 环境中,对三向决策 (3WD) 方法的研究进展进行全面的审查.
- 总结3WD和IFS理论的基本概念.
- 识别该领域的发展趋势,应用和混合方法.
主要方法:
- 在一般IF环境中对3WD方法的文献综述.
- 分析3WD和IFS理论的基本方面.
- 讨论最近的发展趋势,应用和混合方法.
主要成果:
- 一般化的IFS理论为建模复杂的决策场景提供了更高的灵活性和精度.
- 最近的研究表明,在一般IF环境中应用3WD方法方面取得了重大进展.
- 分析揭示了当前研究方法的优点和局限性,突出了需要改进的领域.
结论:
- 一般化的IF环境为先进的3WD方法提供了强大的框架.
- 需要进一步的研究来解决现有的局限性,并探索新的混合方法.
- 本综述指导研究人员和工程师在不确定性下做出智能决策.
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