The present paper deals with the relational database model of Codd and the application of fuzzy logic on it to derive the programming algorithm that aims to work on the fuzzy enabled database system. Firstly in this paper an analysis of codd’s relational model has taken place along with it’s fuzzy extension. In the next phase, a database solution along with a concrete computer algorithm is deve...

Fuzzy relations are simple mathematical structures that enable a very general representation of fuzzy knowledge, and fuzzy relational calculus offers a powerful machinery for approximate reasoning. However, one of the most relevant limitations of approximate reasoning is the efficiency bottleneck. In this paper, we present a module for fast fuzzy inference through relational composition, with t...

An approarch is proposed that gets a fuzzy relational model of objects by taking 3-D geometrical information of objects obtained from stereo vision as inouts. To solve the scale problem occurred in quantitative representation of 3-D structural information of obiects and lower the ~ ~ ~--. matching cost, a fuzzy relational description language (FRDL) is defined in this paper that represents the ...

In this paper, the grade of similarity, LA. B of tWO fuzzy sets A and B is defined and its properties are given. The set G(R, b) of grades of similarity associated with the set of the solutions of the Inverse Problem "given a fuzzy matrix R and a fuzzy vector b find all a such that a o R = b" is also defined and several properties are shown.

ABSTRACT Many real world problems involve imprecise and ambiguous information rather than crisp information. Recent trends in the database paradigm are to incorporate fuzzy sets to tackle imprecise and ambiguous information of real world problems. Fuzzy query processing in multidatabases have been extensively studied, however, the same has rarely been addressed for fuzzy multidatabases. In this...

In this work we investigate our potential ability to discover knowledge from multi-valued attributes (often referred in literature on fuzzy databases as fuzzy collections [1-3]), that have been utilized in fuzzy relational database models [4-7] as a convenient way to represent uncertainty about the data registered in the data tables. We present here implementation details and extended tests of ...

Many corporation and business rely on relational databases for their daily activities and decision making. Employee performance evaluation considered a very time consuming task faced by many large business mangers especially if it involved huge amount of transaction sales. This paper present a methodology based on fuzzy logic techniques to enhance this decision making process. The proposed meth...

As moving to big data world where data is increasing in unstructured way with high velocity, there is a need of data-store to store this bundle amount of data. Traditionally, relational databases are used which are now not compatible to handle this large amount of data, so it is needed to move on to non-relational data-stores. In the current study, we have proposed an extension of the Mongo...

We show that the well-known results regarding solutions of fuzzy relational equations and their systems can easily be generalized to obtain criteria regarding constrained solutions such as solutions which are crisp relations. When the constraint is empty, constrained solutions are ordinary solutions. The generalization is obtained by employing intensifying and relaxing linguistic hedges, concei...

Fuzzy relational databases have been introduced to deal with uncertain or incomplete information demonstrating the efficiency of processing fuzzy queries. For these reasons, many organizations aim to integrate flexible querying to handle imprecise data or to use fuzzy data mining tools, minimizing the transformation costs. The best solution is to offer a smooth migration towards this technology...