Examples of expressions.FuzzyConstantExpression

expressions.FuzzyConstantExpression
@author sschocka




      if (!ruleMap.containsKey(l)) // We'll add IW(l,0) = 1, which is equivalent to l = 0 as IW(l,0) = 1-l
      {
        literalList.add(new FuzzyLiteral(1.0, 1.0, new FuzzyBinaryExpression(
            l.convertToFuzzyExpression(), new FuzzyConstantExpression(0), new IW())));
      }




    }

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    }
    FuzzyExpression ant = new FuzzyMultiExpression(antList, new SM());
    // 2.b Create consequent: max(B1,...,Bn) for l <- Bi in R^{+}(P,L)
    ArrayList<FuzzyExpression> consList = new ArrayList<FuzzyExpression>();
    // Add a zero for elements that never occur in the head of a rule
    consList.add(new FuzzyConstantExpression(0.0));
    for (GroundRule r : rMinus) {
      consList.add(r.convertBodyExpression());
    }
    FuzzyExpression cons = new FuzzyMultiExpression(consList, new SM());
    return new FuzzyClause(

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      } else {
        // If RMINUS is empty, we have to have 0.0, i.e. none of the
        // rules in RPLUS offer real support and thus all literals in
        // the loop should be zero.
        consExp = new FuzzyConstantExpression(0.0);




      }
      return new FuzzyLiteral(1.0, 1.0, new FuzzyBinaryExpression(antecExp, consExp, new IW()));




    } else {
      // If there is no loop, this method shouldn't have been called, so
      // we return an easy literal.
      return new FuzzyLiteral(0.0, 0.0, new FuzzyConstantExpression(0.0));




    }


  }

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