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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/45528


    Title: A Study of Disjunctive Information in Fuzzy Relational Databases
    Authors: 王明華;Wang, Ming-hua;葛煥昭;Keh, Huan-chao;謝楠楨;Hsieh, Nan-chen;王琮盛;Wang, Tsong-sheng
    Contributors: 淡江大學資訊工程學系
    Keywords: fuzzy relational database;fuzzy disjunctive information;imprecision;uncertainty;quality of answer
    Date: 2006-01
    Issue Date: 2010-03-26 19:28:24 (UTC+8)
    Publisher: 臺北市:中央研究院資訊科學研究所
    Abstract: This paper proposes a logical reconstruction of the classical fuzzy relational database model to accommodate fuzzy disjunctive information. In query processing, we use two supplementary measurements, matching information and extra information, to model the concepts of imprecision and uncertainty, respectively. We also use these two supplementary measurements to determine the quality of answers to the query. The answers to the query thus contain sure answers and maybe answers. In addition, we discuss the redundancy problem by presenting a complete set of fuzzy relational algebra with fuzzy disjunctive information. The proposed extended fuzzy relational database model preserves the properties – uniquely-determined and well-defined properties of relational algebra to ensure that the manipulative power of the proposed model is the same as that of the classical fuzzy relational database model.
    Relation: Journal of Information Science and Engineering 22(1), pp.199-213
    Appears in Collections:[Graduate Institute & Department of Computer Science and Information Engineering] Journal Article

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