Keywords: fuzzy relational database, fuzzy disjunctive information, imprecision, uncertainty, quality of answer
Received August 15, 2003; revised August 9, 2004; accepted October 12, 2004.
Communicated by Chin-Teng Lin.
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Ming-Hua Wang1, Huan-Chao Keh2, Nan-Chen Hsien3 and Tsong-Sheng Wang2
1Department of Information Management
Nanya Institute of Technology
Chungli, 320 Taiwan
2Department of Computer Science and Information Engineering
Tamkang University
Tamshui, 251 Taiwan
3Department of Information Management
National Taipei College of Nursing
Taipei, 112 Taiwan
E-mail: nchsieh@ntcn.edu.tw
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 ¡V 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.
Received August 15, 2003; revised August 9, 2004; accepted October 12, 2004.
Communicated by Chin-Teng Lin.