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An outranking sorting method for multi-criteria group decision making using intuitionistic fuzzy sets

机译:基于直觉模糊集的多准则群决策的排序排序方法

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In real world multi-criteria group decision making (MCGDM) problems, the decision making information provided by the decision makers is often imprecise or uncertain because of a lack of data, time pressure, or the decision makers' limited information-processing capabilities. Intuitionistic fuzzy sets, however, have been shown to have greater imprecision and an increased ambiguity than ordinary fuzzy sets. For these reasons, this paper proposes a new outranking sorting method for group decision making using intuitionistic fuzzy sets. Based on a proposed intuitionistic fuzzy support function, risk function and credibility function, we first propose a new method for the construction of an intuitionistic fuzzy outranking relation to exploit the sorting problems. Then we extend the proposed intuitionistic fuzzy sorting method to take account of group decision techniques and to develop an adaptive search and adjustment approach for the group consensus. Finally, a numerical example for a bridge risk assessment is provided to elucidate the details of the proposed method, and then this method is compared with other current methods to further demonstrate its flexibility. (C) 2015 Elsevier Inc. All rights reserved.
机译:在现实世界中的多准则组决策(MCGDM)问题中,由于缺乏数据,时间压力或决策者信息处理能力有限,决策者提供的决策信息通常不准确或不确定。然而,直觉模糊集已经显示出比普通模糊集更大的不精确性和更高的歧义性。由于这些原因,本文提出了一种使用直觉模糊集进行群体决策的新的排序排序方法。在提出直觉模糊支持函数,风险函数和可信度函数的基础上,我们首先提出一种新的构造直觉模糊排序关系的方法,以利用排序问题。然后,我们将提出的直觉模糊排序方法扩展到考虑了群体决策技术,并为群体共识开发了一种自适应搜索和调整方法。最后,提供了桥梁风险评估的数值示例,以阐明所提出方法的细节,然后将该方法与其他现有方法进行比较,以进一步证明其灵活性。 (C)2015 Elsevier Inc.保留所有权利。

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