将多属性群决策方法和指标偏离度的思想结合,提出基于多属性群决策方法的障碍诊断模型。模型首先对诊断目标进行多层次分解,然后集结专家对属性的判断矩阵,对指标偏离度进行综合量化运算,得到各层次指标的障碍水平,最后对指标障碍水平进行排序分析。该模型克服了主观赋权的局限,提供了障碍诊断的新思路,拓展了多属性群决策方法的应用。利用该模型对我国531家中小企业上市公司2010年的成长性障碍进行了诊断,得到各个公司在成长能力、盈利能力、资金营运能力、市场预期和公司规模5个方面的障碍水平,深化了中小企业成长性评价的研究,同时也验证了模型的有效性。
Abstract
Combining the principles of multi-attribute group decision-making with the idea of index deviation degree, an obstacle diagnosis model is developed based on the multi-attribute group decision-making. First the model decomposes diagnosis targets multi-levelly, then assemble the matrix of expert attributes judgment in order to quantitatively calculate index deviation degree and get each obstacle level of all indexes. Finally, the obstacle levels of index are sorted and analyzed. The model offers a new thought of obstacle diagnosis for overcoming the limitation of subjective weight, and expanding the applications of multi-attribute group decision-making method. Empirical analysis has diagnosed the growth obstacles of 531 listed Small and Medium-sized Enterprises(SMEs) in the year of 2010, and gets the obstacle level of five aspects, including growth ability, profitability, capital operation ability, market expectation, and enterprise scale of each SME, expanding the study of SMEs growth and proving the validity of the model.
关键词
多属性群决策 /
障碍诊断 /
中小企业
Key words
multi-attribute group decision-making /
obstacle diagnosis /
SME
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基金
国家自然科学基金创新群体科学基金项目(70921001/G0104,2010-2015);国家自然科学基金国际(地区)合作与交流项目(71210003)。
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