摘要
将直觉模糊Kripke结构扩展到加权直觉模糊Kripke结构,将直觉模糊计算树逻辑诱导到加权直觉模糊计算树逻辑;研究在此之上的直觉模糊期望测度和多属性工程决策问题。用加权直觉模糊Kripke结构的权值自然地刻画了工程问题中的成本和收益,直觉模糊测度量化工程进展的不确定性,用加权直觉模糊计算树逻辑描述不确定性工程属性约束。给出了基于直觉模糊模型检测的多属性工程寻优算法,并讨论了算法的复杂度。
The intuitionistic fuzzy Kripke structure(IFKS) is extended to the weighted intuitionistic fuzzy Kripke structure(WIFKS), and then the intuitionistic fuzzy computational tree logic(IFCTL) is induced to the weighted intuitionistic fuzzy computational tree logic(WIFCTL). Based on these theories the intuitionistic fuzzy expected measure and multiple attribute decision making problems are researched. The weights of WIFKS is naturally used to depicted the costs and benefits of engineering problems.And the intuitionistic fuzzy measure is used to quantify the uncertainty of a project progress. The WIFCTL is used to describe the uncertain engineering attribute constraints. A multi-attribute engineering optimization algorithm based on intuitionistic fuzzy model checking is given and its complexity is discussed.
作者
鱼先锋
李永明
YU Xian-feng;LI Yong-ming(School of Computer Science,Qinghai University,Xining 810008,China;Institute of Mathematics and Computer Application,Shangluo University,Shangluo 726000,China)
出处
《模糊系统与数学》
北大核心
2020年第2期142-150,共9页
Fuzzy Systems and Mathematics
基金
国家自然科学基金资助项目(61228305)
商洛市科技计划项目(sk2018-03-01)
商洛学院科技创新团队建设项目(18SCX002)。
