Representation and Support Generatha in ~SY RdatiSnal Dttfabasear
Valerie V. Cross, Thomas Suhp · 1991
Standard relational database management systems are incapable of representing and manipulating the imprecise, incomplete and vague iaformation that is typically encountered in complex problem domains. F’uzzy relational databases have been developed to increase the flexibility in the representation of domain information. The diaerent models of fuzzy relations and their roles in the framework of a fuzzy relational database management systems are reviewed. The applicability of fuzzy relational database techniqnea as a methodology for approximate reasoning is examined. Many similarities exist in the proceeses that are used for fuzzy relational operations and those of approximate reasoning; however, often the goals are different. In fuzzy relational database theory, the objective is measuring similarity. For approximate reasoning, the objective is determining maximal compatibility. Several dasses of similarity measures are examined to determine their appropriateness as compatibility measures in approximate reasoning.