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INDIVIDUAL AND SOCIAL STRATEGIES TO DEAL WITH IGNORANCE SITUATIONS IN MULTI-PERSON DECISION MAKING

机译:在多人决策过程中应对无视情况的个人和社会策略

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摘要

Multi-person decision making problems involve the preferences of some experts about a set of alternatives in order to find the best one. However, sometimes experts might not possess a precise or sufficient level of knowledge of part of the problem and as a consequence that expert might not give all the information that is required. Indeed, this may be the case when the number of alternatives is high and experts are using fuzzy preference relations to represent their preferences. In the literature, incomplete information situations have been studied, and as a result, procedures that are able to compute the missing information of a preference relation have been designed. However, these approaches usually need at least a piece of information about every alternative in the problem in order to be successful in estimating all the missing preference values. In this paper, we address situations in which an expert does not provide any information about a particular alternative, which we call situations of total ignorance. We analyze several strategies to deal with these situations. We classify these strategies into: (i) individual strategies that can be applied to each individual preference relation without taking into account any information from the rest of experts and (ii) social strategies, that is, strategies that make use of the information available from the group of experts. Both individual and social strategies use extra assumptions or knowledge, which could not be directly instantiated in the experts preference relations. We also provide an analysis of the advantages and disadvantages of each one of the strategies presented, and the situations where some of them may be more adequate to be applied than the others.
机译:多人决策问题涉及一些专家对一组备选方案的偏好,以便找到最佳方案。但是,有时专家可能不具备对部分问题的精确或足够的知识,因此专家可能无法提供所需的所有信息。确实,当替代方案的数量很高并且专家使用模糊偏好关系来表示他们的偏好时,可能就是这种情况。在文献中,已经研究了不完整的信息情况,结果,设计了能够计算偏好关系的缺失信息的过程。但是,这些方法通常至少需要有关问题中每个替代方案的一条信息,以便成功估算所有缺失的偏好值。在本文中,我们解决了专家没有提供有关特定替代方案任何信息的情况,我们称这种情况为完全无知。我们分析了应对这些情况的几种策略。我们将这些策略分类为:(i)可以应用于每个个人偏好关系的个体策略,而无需考虑其他专家的任何信息;以及(ii)社会策略,即利用可从中获得的信息的策略专家组。个人策略和社会策略都使用额外的假设或知识,而这些假设或知识无法在专家的偏好关系中直接实例化。我们还提供了每种策略的优缺点的分析,以及其中某些策略可能比其他策略更适用的情况。

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