A fuzzy ranking of negotiation packages for the INSPIRE negotiation support system

Q4 Engineering Control and Cybernetics Pub Date : 2021-03-01 DOI:10.2478/candc-2021-0005
Krzysztof Piasecki
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Abstract

Abstract Preferential information may be visualized in many different ways, and this constitutes an important issue in the principal-agent decision-making context, e.g., in representative negotiations. In the INSPIRE negotiation support system, the principal’s preferences are visualized by circles with different radii. Agents evaluate the principal’s preferences in such a manner that they digitize these preferences using numbers directly proportional to the size of the circles, drawn by the principal. The manner, in which an agent understands the concept of the circle size is unknown. The main goal of this paper is to propose such an image of principal’s preferences, which is independent of an individual agent’s evaluation. Individual negotiators may differ in their understanding of this concept. This means that the notion of “circle size” is a linguistic variable that may be described by a fuzzy set. The empirical studies referred to show that the size of the circle is a value between the radius and the area of this circle. In this paper, the principal’s preferences are defined as a fuzzy preorder between fuzzy “circle sizes”. We distinguish here two kinds of the INSPIRE method. All considerations are illustrated by means of a short case study based on INSPIRE data.
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INSPIRE协商支持系统协商包的模糊排序
优惠信息可以通过许多不同的方式可视化,这在委托代理决策环境中构成了一个重要问题,例如在代表谈判中。在INSPIRE协商支持系统中,委托人的偏好通过不同半径的圆来可视化。代理人以这样一种方式评估委托人的偏好,他们使用与委托人画的圆圈大小成正比的数字将这些偏好数字化。agent理解圆大小概念的方式是未知的。本文的主要目标是提出这样一个独立于个体代理人评价的委托人偏好图像。个别谈判者对这一概念的理解可能不同。这意味着“圆大小”的概念是一个语言变量,可以用模糊集来描述。参考的实证研究表明,圆的大小是半径和这个圆的面积之间的一个值。本文将委托人的偏好定义为模糊“圆大小”之间的模糊预定顺序。我们在这里区分了两种INSPIRE方法。所有的考虑都通过一个基于INSPIRE数据的简短案例研究来说明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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Control and Cybernetics
Control and Cybernetics 工程技术-计算机:控制论
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期刊介绍: The field of interest covers general concepts, theories, methods and techniques associated with analysis, modelling, control and management in various systems (e.g. technological, economic, ecological, social). The journal is particularly interested in results in the following areas of research: Systems and control theory: general systems theory, optimal cotrol, optimization theory, data analysis, learning, artificial intelligence, modelling & identification, game theory, multicriteria optimisation, decision and negotiation methods, soft approaches: stochastic and fuzzy methods, computer science,
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