DEVELOPMENT OF GROUP WARE BY MULTI-OBJECTIVE DECISION ANALYSIS
| Project/Area Number |
04832045
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| Research Category |
Grant-in-Aid for General Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Research Field |
社会システム工学
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| Research Institution | KONAN UNIVERSITY |
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Principal Investigator |
NAKAYAMA Hirotaka KONAN UNIV.DEPT.OF APPLIED MATHEMATICS, PROFESSOR, 理学部, 教授 (20068141)
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| Co-Investigator(Kenkyū-buntansha) |
HATTORI Yuichi KONAN UNIV.DEPT.OF APPLIED MATHEMATICS, ASSOCIATE PROF., 理学部, 助教授 (80149947)
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| Project Period (FY) |
1992 – 1993
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| Project Status |
Completed (Fiscal Year 1993)
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| Budget Amount *help |
¥2,000,000 (Direct Cost: ¥2,000,000)
Fiscal Year 1993: ¥500,000 (Direct Cost: ¥500,000)
Fiscal Year 1992: ¥1,500,000 (Direct Cost: ¥1,500,000)
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| Keywords | 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 |
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| Research Abstract |
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.
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Report
(3 results)
Research Products
(20 results)
