Managing subjective information in fuzzy database systems

  • Authors:

  • Hideo Tashiro;Naoto Ohki;Takahiko Nomura;Teruo Yokoyama;Yutaka Masushita

  • Affiliations:

  • Department of Instrumentation Engineering, Faculty of Science and Technology, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama, 223 Japan;Department of Instrumentation Engineering, Faculty of Science and Technology, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama, 223 Japan;Department of Instrumentation Engineering, Faculty of Science and Technology, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama, 223 Japan;Department of Instrumentation Engineering, Faculty of Science and Technology, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama, 223 Japan;Department of Instrumentation Engineering, Faculty of Science and Technology, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama, 223 Japan

  • Venue:
  • CSC '93 Proceedings of the 1993 ACM conference on Computer science
  • Year:
  • 1993

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Abstract

The recent improvement of computer hardware has made them possible to manage imprecise information. An example is the fuzzy database system which allows imprecise data as well as imprecise queries. However, one serious problem has not been solved when imprecise information is handled. That is, the problem of subjectivity. Each person has his/her own subjectivity, and the definition of a fuzzy expression usually differs among individuals. In this paper, we present a method for managing subjectivity in a fuzzy database system. In our system, the subjectivity for each user is interpreted, and membership functions are generated automatically for each user. This enables users to utilize the imprecise data which were initially stored by other users.