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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/79065

    Title: A Social Network Based Group Decision Support System
    Authors: Chang, Wei-lun;Lo, Yi–-ping
    Contributors: 淡江大學企業管理學系
    Keywords: social networks;case–base reasoning;CBR;Delphi method;DSS;collective intelligence;group decision support systems;group decisions;decision making;internet agents;trustworthy decisions
    Date: 2012
    Issue Date: 2012-11-28 17:19:26 (UTC+8)
    Publisher: Inderscience Publishers
    Abstract: Decision-making is a cognitive mental process which selects certain actions among several alternatives for a specific problem. This research provides a social network-based group decision model which accounts for collective intelligence. This work considers peers from a user's social network as experts in the group decision-making process and each peer has its own internet agent. The purpose is to conduct a virtual group decision-making process over the internet at anytime. Each agent can reason by enabling the case-based reasoning approach and discuss by the proposed decision model. The proposed approach attempts to improve efficiency and effectiveness for a quality decision, which is extremely critical and crucial. This work also designed a system which: empowers collective intelligence from a social network; enhances trustworthy group decisions of the social network; ensures heterogeneity of selected experts; diminishes the domination of certain experts.
    Relation: International Journal of Mobile Communications 10(1), pp.41-64
    DOI: 10.1504/IJMC.2012.044522
    Appears in Collections:[Graduate Institute & Department of Business Administration] Journal Article

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