基于严格的t-规范和t-规范的双层次语言聚合运算符的三向决策方法
Yihua Zhong1,2, Ping Wu1, Chuan Chen1
1School of Science, Southwest Petroleum University, Chendu, 610500 Sichuan China.
本研究引入了一种新的三向决策方法,用于复杂的语言环境,使用严格的t-规范和t-规范. 该方法通过结合双层次语言信息和强大的决策理论粗略模型来增强决策.
科学领域:
- 决策科学 决策科学
- 人工智能的人工智能
- 模糊的逻辑 模糊的逻辑
背景情况:
- 越来越多的语言信息不确定性给现实的决策带来了挑战.
- 复杂的语言环境需要先进的方法来提供有效的决策支持.
研究的目的:
- 提出一种三向决策方法,用于处理在双层次语言环境中的不确定性.
- 开发聚合运营商和决策理论粗略模型,以改善决策.
主要方法:
- 引入严格的t-规范和t-规范来定义对双层次语言信息的操作.
- 双层次语言加权平均 (DHLWA) 和加权几何 (DHLWG) 运算符的发展.
- 构建双层次语言决策理论粗略集 (DHLDTRS) 模型,集成预期损失计算.
主要成果:
- 证明了DHLWA和DHLWG运营商的idempotency,边界性和单调性等属性.
- 一个新的重计算公式和灰色关系分析 (GRA) 已集成用于客观重量确定和条件概率计算.
- 提出的方法通过一个说明性的例子和实验分析来验证,证明了它的合理性,稳定性和优越性.
结论:
- 开发的三向决策方法有效地解决了复杂的语言环境中的决策挑战.
- 拟议的DHLDTRS模型提供了对决策者态度的更充分考虑,并增强了决策支持系统.
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