https://sourceforge.net/p/fuzzyj/wiki/WhyFuzzyJ/Recent changes to WhyFuzzyJenWed, 28 Jan 2015 22:13:12 -0000https://sourceforge.net/p/fuzzyj/wiki/WhyFuzzyJ/<div class="markdown_content"><pre>--- v1 +++ v2 @@ -3,4 +3,4 @@ But general purpose computer languages like Java don't account for either this fuzziness based on initial conditions, or the fuzziness introduced when calculations are performed. -This project is a Java 1.8 answer to this problem. It builds upon work which I did in the Sourceforge JQuantity project but instead of defining new objects to store numeric information, FuzzyJ uses generic types to decorate numbers. +This project is a Java 1.8 answer to this problem. It builds upon work which I did in the Sourceforge JQuantity project but instead of defining new objects to store numeric information, FuzzyJ uses generic types to decorate normal Java numbers (i.e. Doubles, BigDecimals, etc.). </pre> </div>Robin HillyardWed, 28 Jan 2015 22:13:12 -0000https://sourceforge.net84976e20d0b4eda01ce147c80576385502163545https://sourceforge.net/p/fuzzyj/wiki/WhyFuzzyJ/<div class="markdown_content"><p>In the real world, quantities are rarely known precisely. There is almost always some degree<br /> of uncertainty (fuzziness) in a quantity because we cannot always measure it precisely.</p> <p>But general purpose computer languages like Java don't account for either this fuzziness based on initial conditions, or the fuzziness introduced when calculations are performed.</p> <p>This project is a Java 1.8 answer to this problem. It builds upon work which I did in the Sourceforge JQuantity project but instead of defining new objects to store numeric information, FuzzyJ uses generic types to decorate numbers.</p></div>Robin HillyardWed, 28 Jan 2015 04:04:56 -0000https://sourceforge.neta6115952813ed455f9fbf22bf8706197d5d2d947