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Introduction

  • Adnan Yazici
  • Roy George
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 26)

Abstract

The evolution of database systems was initially driven by the requirements of traditional data processing. The drawbacks of the network and hierarchical data model coupled with the need for a formally based database model, which clearly separate the physical and logical model led to the definition of the relational database model by Codd [7]. The initial reaction of IS community to the relational model was lukewarm, however the maturing of this technology led to general acceptance by the mid-80’s and almost universal usage in the 90’s. Indeed it is hard to conceive of any organization utilizing the older network and hierarchical data models today. This acceptance came about due to the phenomenal improvements in relational technology since its original definition by Codd. Software improvements took place in storage structures, retrieval algorithms, optimization techniques, parallel processing and user interface technologies. Simultaneously, hardware improvements in chip and data storage technology were taking place. This made it possible to efficiently store and retrieve terabytes of information using the relational data model.

Keywords

Membership Function Data Model Similarity Relation Access Structure Fuzzy Data 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1999

Authors and Affiliations

  • Adnan Yazici
    • 1
  • Roy George
    • 2
  1. 1.Department of Computer EngineeringMiddle East Technical UniversityAnkaraTurkey
  2. 2.AT&T Laboratories and Department of Computer ScienceClark Atlanta UniversityAtlantaUSA

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