基于D-U空间的混合型多属性决策方法

发布时间：2018-06-23 23:25

本文选题：混合型多属性决策 + 集对分析　；参考：《计算机工程》2014年09期

【摘要】：针对混合型决策中不同类型属性值无法有效保留其不确定信息的问题,根据不确定原理,将联系数的D-U空间理论引入到混合型多属性决策问题中,提出一种基于D-U空间的混合型多属性决策方法。将确定性与不确定视为一个整体,提出不同类型属性值在D-U空间中的映射转换法则,使得不同类型属性值在空间中得以统一量化,并明确属性中的不确定信息,避免不确定信息丢失而造成的决策偏差。在决策过程中,通过计算空间中属性向量的模和幅角的值进行方案选择,以描述各方案的稳定性,使排序准则具有直观的意义。通过2个算例验证了该方法的适用性和实用性。
[Abstract]:In order to solve the problem that different types of attribute values can not effectively retain their uncertain information in hybrid decision making, the D-U space theory of connection number is introduced into hybrid multi-attribute decision making problems according to the uncertainty principle. A hybrid multi-attribute decision-making method based on D-U space is proposed. Considering certainty and uncertainty as a whole, a mapping transformation rule of different types of attribute values in D-U space is proposed, so that the values of different types of attributes can be uniformly quantified in space, and the uncertain information in attributes can be clearly defined. Avoid the decision deviation caused by the loss of uncertain information. In the decision-making process, the scheme is selected by calculating the modulus and amplitude angle of the attribute vector in the space, so as to describe the stability of each scheme and make the ranking criterion have intuitive significance. The applicability and practicability of the method are verified by two examples.
【作者单位】：哈尔滨理工大学高新技术产业发展研究中心;
【基金】：国家自然科学基金资助项目(71072085,71272191) 黑龙江省研究生创新科研基金资助项目(YJSX2011-003HLJ) 黑龙江省自然科学基金资助项目(G201301) 黑龙江省高等学校哲学社会科学创新团队建设计划基金资助项目(TD201203)
【分类号】：C934

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