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DEVELOPMENT OF GROUP WARE BY MULTI-OBJECTIVE DECISION ANALYSIS

通过多目标决策分析开发Group Ware

基本信息

批准号：
04832045
负责人：
NAKAYAMA Hirotaka
金额：
$ 1.28万
依托单位：
KONAN UNIVERSITY
依托单位国家：
日本
项目类别：
Grant-in-Aid for General Scientific Research (C)
财政年份：
1992
资助国家：
日本
起止时间：
1992 至 1993
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-04832045/
关键词：
GROUP WARE MULTI-OBJECTIVE DECISION ANALYSIS AHP SATISFICING TRADE-OFF METHOD COMMITTEE MACHINE SOCIAL CHOICE GROUP DECISION 集団意思決定合意形成

项目摘要

One of the most important function of group ware for supporting cooperation in group is to support grpup decisions. It is very important in developing group decision support systems to promote to make consensus among the group by making better mutual undestanding. Groups consist of members who have various value scopes. The multi-objective decision analysis aims to find a satisfactory solution from a total view point by adjusting various different value scopes moderately. In this research, we extend the satisficing trade-off method, which was originally developed for cases with single decision maker, to group decisions and incorporate it into a group ware. Both xases with mediators and ones without mediator are treated in this research. Cases with mediators are hierarchical decision problems, and those without mediators are autonomous decision problems. We developed a group ware using satisficing trade-off method and other methods of multi-objective decision analysis such as well known ISM and AHP.This group ware is devised in human-interface in order to be applicable to many practical problems. In addition, we developed a committee machine using transputers, which is a kind of complex neural networks. It can be effectively used to simulate group decisions and provides much information in developing group wares. Finally, theoretical analysis for rules of group decisions was made in detail with emphasis on practical implication. These decision rules are examined from a practical view point through simulation by incorporation into a group ware.

支持群体协作的群件最重要的功能之一就是支持群体决策。在开发群体决策支持系统的过程中，如何通过更好的相互理解来促进群体间的共识是非常重要的。组由具有不同价值范围的成员组成。多目标决策分析的目的是通过适度调整各种不同的价值范围，从总体上找到满意的解决方案。在本研究中，我们将最初针对单一决策者的满意权衡方法扩展到群决策，并将其整合到群件中。本研究对有中介体和无中介体的病例进行了研究。有调解人的案件属于层次化决策问题，无调解人的案件属于自主决策问题。我们利用满意折衷方法和其他多目标决策分析方法如ISM和AHP开发了一个群件，该群件是在人机界面上设计的，以适用于许多实际问题。此外，我们还开发了一个使用Transputers的委员会机器，这是一种复杂的神经网络。它可以有效地模拟群体决策，为群体软件的开发提供了大量的信息。最后，对群体决策规则进行了详细的理论分析，强调了实践意义。这些决策规则通过集成到群件中的模拟从实用的角度来检验。