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作 者:张运良[1]
出 处:《西北大学学报(自然科学版)》2010年第4期586-588,共3页Journal of Northwest University(Natural Science Edition)
基 金:国家自然科学基金资助项目(60572133)
摘 要:目的研究基于Vague集的多属性决策问题。方法通过定义新的函数形式得到决策方法。结果在分析带权重模糊多属性决策"记分函数法"和"精确函数法"存在问题的基础上,提出处理含有权重的模糊多属性决策的新方法——"加权算法"。结论加权模糊的属性决策的"加权算法"相对带权重多属性决策的"记分函数法"和"精确函数法"更具优越性和实用性。Aim Multi-criteria fuzzy weight decision-making is based on Vague sets. Methods Decision-making method is obtained by defining new function form. Results Weight glgorithm, a new method for teria fuzzy weight decision, is presented after precising function. Conclusion Comparing handling multi-cripointing out the shortcomings on this theory by scoring function and to multi-criteria fuzzy weight decision-making problems by scoring function and precising function, it is concluded that the new method, weight algorithm for handling multi-criteria fuzzy weight decision, have more superiority and practicability by the given examples.
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