一种新的语言条件偏好网络表示方法

I. Truck, Wolfgang Schmid
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引用次数: 2

摘要

在本文中,我们关注的是通过LCP-nets(语言条件偏好网络)表达偏好时的群体决策。有必要对混合lcp网络的工作和研究进行补充,以便能够计算群体偏好。第一步是比较两个lcp网络和lcp网络的聚合。为了比较两种聚合的lcp网络,我们提出了一种考虑节点数、方向和三种弧线的矩阵表示。通过这种简单的建模,计算变得非常容易和快速。特别地,我们开发了一个叫做+的附加算子,它允许在一定条件下聚合两个lcp -网络。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A New Proposal to Represent the Linguistic Conditional Preference Networks
In this article, we focus on group decision making when preferences are expressed through the LCP-nets (Linguistic Conditional Preference networks). There is a need for complementing efforts and research on mixing LCP-nets together to be able to compute group preferences. First steps are the comparison between two LCP-nets and the aggregation of LCP-nets. In order to compare then aggregate two LCP-nets, we propose a matrix representation that takes into account the number of nodes, the directions and three kinds of arcs. With this simple modeling, computations become very easy and fast. In particular, we develop an adjunction operator called + that permit to aggregate two LCP-nets under certain conditions.
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