联盟值为梯形模糊数的合作对策最小平方求解模型与方法
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(福州大学经济与管理学院,福州350108)

作者简介:

肖燕(1992-), 女, 博士生, 从事博弈论及其应用的研究;李登峰(1965-), 男, 教授, 博士生导师, 从事经济管理决策与对策等研究.

通讯作者:

E-mail: lidengfeng@fzu.edu.cn.

中图分类号:

TP273

基金项目:

国家自然科学基金重点项目(71231003).


The least square solution model and method of cooperative games with trapezoidal fuzzy numbers
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(College of Economics and Management,Fuzhou University,Fuzhou350108,China)

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    摘要:

    针对现实经济管理决策环境与条件具有模糊性的特点,着重研究一类联盟特征(或支付)值为梯形模糊数的合作对策,提出一种求解梯形模糊数合作对策的最小平方优化方法.利用梯形模糊数距离(平方)概念和最小平方法,建立最小化局中人联盟分配和支付值差值平方和的优化模型,根据模型推导出联盟成员梯形模糊数分配值的解析公式,探讨该最小平方解的重要性质.设计一种新的理论优化模型以避免传统梯形模糊数减法导致的计算结果不确定性扩大等问题,为求解梯形模糊数合作对策提供一种新的实践工具与参考思路.

    Abstract:

    In view of the characteristics of the fuzzy nature of real economic management decision making environment and conditions, this paper studies a class of cooperative games that the values of coalitions are expressed with trapezoidal fuzzy numbers. The main purpose of this paper is to develop a kind of least square optimization method for solving trapezoidal fuzzy number cooperative games. Firstly, according to the concept of the trapezoidal fuzzy numbers' distance(square) and the least square method, an optimized mathematical model is proposed by considering that players in coalitions try to guarantee their payoffs' sums being as close to the coalitions' values as possible. Then all players' analytical formulas of trapezoidal fuzzy number payoffs are determined by the optimized mathematical model. Finally, some important properties of the least square solutions are discussed.The new model is proposed to avoid the uncertainty expansion caused by the trapezoidal fuzzy number subtraction, which can provide a new theoretical perspective and practical tool for solving the trapezoidal fuzzy number cooperative games.

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肖燕,李登峰.联盟值为梯形模糊数的合作对策最小平方求解模型与方法[J].控制与决策,2019,34(4):834-842

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  • 在线发布日期: 2019-03-21
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