Indicator Function - Characteristic Function in Fuzzy Set Theory

Characteristic Function in Fuzzy Set Theory

In classical mathematics, characteristic functions of sets only take values 1 (members) or 0 (non-members). In fuzzy set theory, characteristic functions are generalized to take value in the real unit interval, or more generally, in some algebra or structure (usually required to be at least a poset or lattice). Such generalized characteristic functions are more usually called membership functions, and the corresponding "sets" are called fuzzy sets. Fuzzy sets model the gradual change in the membership degree seen in many real-world predicates like "tall", "warm", etc.

Read more about this topic:  Indicator Function

Famous quotes containing the words function, fuzzy, set and/or theory:

    If the children and youth of a nation are afforded opportunity to develop their capacities to the fullest, if they are given the knowledge to understand the world and the wisdom to change it, then the prospects for the future are bright. In contrast, a society which neglects its children, however well it may function in other respects, risks eventual disorganization and demise.
    Urie Bronfenbrenner (b. 1917)

    What do you think of us in fuzzy endeavor, you whose directions are sterling, whose lunge is straight?
    Can you make a reason, how can you pardon us who memorize the rules and never score?
    Gwendolyn Brooks (b. 1917)

    I can add colors to the chameleon,
    Change shapes with Proteus for advantages,
    And set the murderous Machiavel to school.
    William Shakespeare (1564–1616)

    The weakness of the man who, when his theory works out into a flagrant contradiction of the facts, concludes “So much the worse for the facts: let them be altered,” instead of “So much the worse for my theory.”
    George Bernard Shaw (1856–1950)