Rough approximation based strategy model between a green building developer and a contractor under a fuzzy environment
Rough approximation based strategy model between a green building developer and a contractor under a fuzzy environment
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DOI：
10.1016/j.knosys.2013.03.002
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发表时间：
2013-07
期刊：
影响因子：
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通讯作者：
Jiuping Xu;Y. Wang;Zhimiao Tao
中科院分区：
文献类型：
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作者：
Jiuping Xu;Y. Wang;Zhimiao Tao
本文研究了模糊环境下绿色建筑开发商与承包商之间的双层多目标利益权衡问题。根据问题的特点和机制，建立了目标函数和约束条件。与以往的研究相比，定义了基于模糊测度Pos的相似关系，在此基础上，采用粗糙逼近方法对包含模糊系数约束的可行域进行寻址。为了处理目标函数中的模糊系数，采用了基于Me的期望值算子。然后建立了两个基于粗糙近似的双层多目标策略模型。为求解复杂非线性双层次多目标模型，采用粗糙仿真、交互式模糊规划技术和嵌入F-TODIM的混合遗传算法相结合的方法进行求解。最后，以越秀地产某开发商及其承建商为例，说明了该优化方法的实用性和有效性。
This paper considers a bi-level multi-objective benefit trade-off problem between a green building developer and a contractor under a fuzzy environment. The objective functions and constraints are established on the characteristics and mechanism of the problem. In contrast to previous studies, a similarity relation based on the fuzzy measure Pos is defined, based on which, the rough approximation method is adopted for addressing the feasible region featured by the constraints that contain fuzzy coefficients. In order to deal with the fuzzy coefficients in the objective functions, an expected value operator based on Me is employed. Then two rough approximation-based bi-level multi-objective strategy models are developed. To solve the complex and non-linear bi-level multi-objective models, a rough simulation, an interactive fuzzy programming technique and a hybrid genetic algorithm, in which the F-TODIM is embedded, is designed as a combined solution method. Finally, an application for a developer of Yuexiu real estate and its contractor is given as an illustration that demonstrates the practicality and efficiency of the optimization method.