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A projection-based compromising method for multiple criteria decision analysis with interval-valued intuitionistic fuzzy information

机译:区间值直觉模糊信息的基于投影的折衷多准则决策分析方法

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The purpose of this paper is to develop a projection-based compromising method for addressing multiple criteria decision-making problems based on interval-valued intuitionistic fuzzy sets. The concept of projections considers not only the distance but also the included angle between evaluative ratings of alternative actions with respect to a criterion. In the interval-valued intuitionistic fuzzy context, this paper determines the respective projections of the evaluative ratings of each alternative on the positive ideal and negative-ideal solutions and explores several essential properties. Next, this paper introduces the concepts of projection-based compromising indices and comprehensive compromising indices and further investigates relevant theorems for supporting the usefulness of these indices. Additionally, this paper proposes the projection-based comparative index and the comprehensive comparative index to serve as benchmark values for the comparison purpose. The improvement percentage of the comprehensive compromising value is acquired to determine the priority order of the alternatives, including the complete ranking order and the approval status for each alternative. The feasibility and the applicability of the proposed method are validated with an application problem of watershed site selection. Finally, several comparative analyses are conducted to verify the effectiveness and advantages of the proposed method over other relevant compromising decision-making methods. (C) 2016 Elsevier B.V. All rights reserved.
机译:本文的目的是开发一种基于投影的折衷方法,用于基于区间值直觉模糊集解决多准则决策问题。投影的概念不仅考虑距离,而且考虑相对于标准的替代行动的评估等级之间的夹角。在区间值直觉模糊上下文中,本文确定了每种选择对正理想解和负理想解的评价等级的相应投影,并探索了一些基本性质。接下来,本文介绍了基于投影的折衷指数和综合折衷指数的概念,并进一步研究了支持这些指数有用性的相关定理。另外,本文提出了基于投影的比较指数和综合比较指数作为比较的基准值。获取综合折衷值的改进百分比,以确定替代方案的优先级顺序,包括完整的排名顺序和每个替代方案的批准状态。通过流域选址的应用问题,验证了该方法的可行性和适用性。最后,进行了一些比较分析,以验证与其他相关的有损决策方法相比,该方法的有效性和优势。 (C)2016 Elsevier B.V.保留所有权利。

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