mFromQQRecursive

Construct a mass vector from qq function and ttmatrix of focal elements recursively.

Using the Theory of Belief Functions for evidence calculus. Basic probability assignments, or mass functions, can be defined on the subsets of a set of possible values and combined. A mass function can be extended to a larger frame. Marginalization, i.e. reduction to a smaller frame can also be done. These features can be combined to analyze small belief networks and take into account situations where information cannot be satisfactorily described by probability distributions.

Peiyuan Zhu

Using the Theory of Belief Functions

Claude Boivin

mFromQQRecursive function

<dl><dt>qq</dt>
<dd>Commonality function</dd>
<dt>n</dt>
<dd>Frame dimension</dd></dl>

Arguments

Author

Construct a mass vector from qq function and ttmatrix of focal elements recursively. — mFromQQRecursive

<dl>

<dt>qq</dt>
<dd>Commonality function</dd>


<dt>n</dt>
<dd>Frame dimension</dd>

</dl>

mFromQQRecursive: Construct a mass vector from qq function and ttmatrix of focal elements recursively.

Description

Usage

Value

Arguments

Author

Examples