Crisp and fuzzy data in structures

Crisp and fuzzy data in structures

1. Sets

   • Queue
   • Pile
   • Lists

2. Matrix (mathematics)

   • Operations
     • Sum
     • Subtraction
     • Division
     • Multiplicacion

3. Vector (computing)

   • Method of access
   • Multidimensional Vectors
   • Vectors
     • Static
     • Dynamic
   • Notation
   • Index
     • Based indexing Zero
     • Indexed basis-one
     • Based indexing n

4. Lists

   • Simple List
   • Doubly linked list
   • Circular List
   • Lists by jumps

5. Trees

   • Binary trees
     • Full binary tree
     • Perfect binary tree
     • Binary tree with raíz
     • Binary search tree
       • Binary search tree Balanced
         • Red-black trees
         • Trees AVL
     • Beveled trees
   • Multipath trees
     • Trees B
     • Trees B+
     • Trees B*
     • Trie

6. Graphs

   • Simple graph
   • Multigraph
   • Directed graph
   • Graph labeling
   • Random graph
   • Hypergraph
   • Infinite graph

7. Hash tables

   • Mappings
   • Dictionaries

8. Mounds

   • Binary mound
   • Binomial mound
   • Mound Fibonacci
   • Soft mound
   • Mound 2-3

9. Logical: It consists of abstractions of reality to focus on the conceptual level without going into physical details.

   • Logical fuzzy: is a methodology that provides a simple and elegant way to get a conclusion from information vague, ambiguous, imprecise input, noisy or incomplete

10. Physical: Data structures are implemented at low level within the manager itself.

11. Fuzzy database:born to unite theory of databases, mainly the relational model with the theory of fuzzy sets

12. Basic functions

    • creating
    • access
    • destroying

13. operations performed in database

    • Browse by structure
    • Search
    • Total or partial copy
    • Information query
    • Test
    • Modification
    • Elimination
    • Print