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A λ-cut Approximate Approach to Supporting Fuzzy Goal Based Bilevel Decision Making in Risk Management

机译:支持风险管理中基于模糊目标的双层决策的λ割近似方法

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摘要

Bilevel decision making techniques are developed to handle the decentralized problem, in many areas such as risk management, with two-level decision makers, the leader and the follower, who may set goals for their fuzzy objective functions. This paper proposes a λ-cut approximate approach to solving the Fuzzy Goal based Bilevel Decision Making (FGBLDM) problem. Firstly, the λ-cut set based FGBLDM model and related definitions and theorems are given. Then, the programmable algorithm for FGBLDM is presented in detail. Finally, a numerical example is given to illustrate the executing procedure of this algorithm.
机译:在许多领域(例如风险管理)中,开发了双层决策技术来处理分散的问题,其中有两个级别的决策者,领导者和跟随者,他们可以为其模糊的目标功能设定目标。本文提出了一种λ割近似方法来解决基于模糊目标的双层决策(FGBLDM)问题。首先,给出了基于λ割集的FGBLDM模型,并给出了相关的定义和定理。然后,详细介绍了用于FGBLDM的可编程算法。最后,通过数值例子说明了该算法的执行过程。

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