Consistency-based algorithms to estimate missing elements for uncertain 2-tuple linguistic preference relations

Consistency-based algorithms to estimate missing elements for uncertain 2-tuple linguistic preference relations
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基于一致性的算法来估计不确定的二元语言偏好关系的缺失元素

DOI:
10.1080/18756891.2013.856254
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发表时间:
2014-10
影响因子:
2.9
通讯作者:
Chonghui Guo
Chonghui Guo
中科院分区:
计算机科学4区
文献类型:
--
作者:
Zhen Zhang;Chonghui Guo

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摘要对于实际的决策问题,决策者有时很难通过成对比较来提供对备选方案的所有偏好信息。本文主要研究不完全不确定二元组语言偏好关系的缺失元素估计问题。首先,定义了不确定二元组语言偏好关系的加性相合性。基于定义的加性一致性,定义了可接受的不完全不确定二元组语言偏好关系,并提出了两种新的算法,包括迭代算法和基于优化的算法来估计不确定二元组语言偏好关系的缺失元素。最后,给出了一些数值算例来说明这两种算法的适用性。
AbstractFor actual decision making problems, decision makers sometimes may have difficulty to provide all the preference information over alternatives through pairwise comparisons. In this paper, we focus on estimating missing elements for an incomplete uncertain 2-tuple linguistic preference relation. First, the additive consistency of an uncertain 2-tuple linguistic preference relation is defined. Based on the defined additive consistency, we define acceptable incomplete uncertain 2-tuple linguistic preference relation and propose two new algorithms, including an iterative algorithm and an optimization-based algorithm to estimate the missing elements for an uncertain 2-tuple linguistic preference relation. Finally, some numerical examples are presented to illustrate the applicability of the two algorithms.
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