Integration of simulation and fuzzy multi attribute decision making for modeling and assessment of fuzzy parameters

Summer Computer Simulation Conference : (SCSC 2014) : 2014 Summer Simulation Multi-Conference : Monterey, California, USA, 6-10 July 2014. Summer Computer Simulation Conference (2014 : Monterey, Calif.) Pub Date : 2007-07-16 DOI:10.1145/1357910.1357973

A. Azadeh, Maryam Seifoory, M. Abbasi

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引用次数: 17

Abstract

This paper introduces how to incorporate fuzzy set theory with discrete-event simulation in order to model uncertain activity duration in simulating a real-world system, especially when insufficient or no sample data are available. A case study is developed to apply this method to select a scenario to implement the maintenance program in a constant work in process (CONWIP) system. The maintenance activities directly or indirectly affect on production system performance such as response time, production costs and etc. so, we used the fuzzy simulation to determine the maintenance affects on the system performance. Finally, we used the fuzzy simulation result to develop a fuzzy multi attribute decision making (FMADM) model to select the best scenario.

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将仿真与模糊多属性决策相结合，实现模糊参数的建模与评价

本文介绍了如何将模糊集理论与离散事件仿真相结合，以模拟现实系统中不确定的活动持续时间，特别是在样本数据不足或没有样本数据的情况下。通过实例研究，将该方法应用于恒在制品系统维护方案的选择。维修活动直接或间接地影响生产系统的性能，如响应时间、生产成本等，因此，我们采用模糊仿真来确定维修对系统性能的影响。最后，利用模糊仿真结果建立模糊多属性决策(FMADM)模型，选择最优方案。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Summer Computer Simulation Conference : (SCSC 2014) : 2014 Summer Simulation Multi-Conference : Monterey, California, USA, 6-10 July 2014. Summer Computer Simulation Conference (2014 : Monterey, Calif.)

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