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Multicriteria Correlation Preference Information (MCCPI)-Based Ordinary Capacity Identification Method

机译:多铁符相关偏好信息(MCCPI)基础的普通容量识别方法

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摘要

Multicriteria correlation preference information (MCCPI) refers to a special type of 2-dimensional explicit information: the importance and interaction preferences regarding multiple dependent decision criteria. A few identification models have been established and implemented to transform the MCCPI into the most satisfactory 2-additive capacity. However, as one of the most commonly accepted particular type of capacity, 2-additive capacity only takes into account 2-order interactions and ignores the higher order interactions, which is not always reasonable in a real decision-making environment. In this paper, we generalize those identification models into ordinary capacity cases to freely represent the complicated situations of higher order interactions among multiple decision criteria. Furthermore, a MCCPI-based comprehensive decision aid algorithm is proposed to represent various kinds of dominance relationships of all decision alternatives as well as other useful decision aiding information. An illustrative example is adopted to show the proposed MCCPI-based capacity identification method and decision aid algorithm.
机译:多铁符相关偏好信息(MCCPI)是指特殊类型的二维显式信息:关于多种依赖决策标准的重要性和交互偏好。已经建立了一些识别模型并实施以将MCCPI转化为最令人满意的2添加能力。然而,作为最普遍接受的特定类型的能力之一,2添加剂容量仅考虑2阶的相互作用,而忽略了更高阶的相互作用,这并不总是合理的真正的决策环境。在本文中,我们将这些识别模型概括为普通的容量案例,在多个决定标准之间自由地代表更高阶互动的复杂情况。此外,提出了一种基于MCCPI的综合决策辅助算法来代表所有决策替代品的各种优势关系以及其他有用的决定信息。采用说明性示例来展示所提出的基于MCCPI的容量识别方法和决策辅助算法。

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