COMPARATIVE STUDY OF DATA SHARPER AND FUZZY IN DATA STRUCTURES

COMPARATIVE STUDY OF DATA SHARPER AND FUZZY IN DATA STRUCTURES

1. INTRODUCTION

   • Today the internet,, DataWarehouse, client-server systems, simulators and other operating systems have become part of everyday life.
   • Here, have a common denominator, require intensive data structures for store, manipulate and organize information with which they work.
   • Data structures are implemented by programming languages ​​and are a model that characterizes and to store and use a specific data organization.

2. DEVELOPMENT

   • methodology
     • This study responds to documentary research which shows systematically reflects on realities (theoretical or otherwise) for it using different types of documents.
     • This research investigates, interprets, presents data and informaThis research investigates, interprets, presents data and information on a given topic from any area of ​​knowledgetion on a given topic from any area of ​​knowledge.

3. RESULTS

   • some definitions
     • The data structures are sets of variables, possibly of different types, associated (connected) with one another in various ways and a set of operations
     • Marzal presents some examples of data structures that can be found in many areas, from mathematics
     • Data structure or group is any collection of data organized in such a way that they have associated a set of operations to manipulate them.
     • basic functions
       • constructor function
         • Create the structure, ie, define the characteristics, delimitation, relationships and the space allocated
       • destructor function
         • Return to system resources allocated to the data structure so that they are available to it.

4. Standard fuzzy logic operations.

   • Some properties of the standard fuzzy logic
     • P and q are two propositions in fuzzy logic standard (U, g). We say that P and q are equivalent if and only if the degrees of truth of both propositions are equal.
     • All sets are crisp bivalent membership functions; however, there are fuzzy sets with membership functions whose ranges are uncountable infinite sets of real numbers.

5. DISCUSSION OF RESULTS

   • The importance of data is vital in any activity, so they must represent reality and allow them to be viewed quickly and easily.

6. CONCLUSIONS

   • Data structures are critical to search, store, process, implement, disseminate and manage information.