Fuzziness in software engineering

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F13%3A10194748" target="_blank" >RIV/00216208:11320/13:10194748 - isvavai.cz</a>
Result on the web
<a href="http://link.springer.com/chapter/10.1007%2F978-3-642-35644-5_44#page-1" target="_blank" >http://link.springer.com/chapter/10.1007%2F978-3-642-35644-5_44#page-1</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-35644-5_44" target="_blank" >10.1007/978-3-642-35644-5_44</a>

Result language
angličtina
Original language name
Fuzziness in software engineering
Original language description
This paper contains my memories on how did I arrive to field of fuzziness and personal views on present stage and expectation on fuzziness. Main message is: go back to roots and start with real world problems, large scale data and solutions like L. A. Zadeh did 50 years ago in his applications which emerged into fuzzy theory. I will illustrate these on some examples from software engineering applications, especially mining user preferences (in the form of fuzzy functions) for web search. The perspectiveis to develop reliable measurement of fuzzy sets and operators for commercial use (control and web applications are different)
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
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Project
<a href="/en/project/GAP202%2F10%2F0761" target="_blank" >GAP202/10/0761: Web Semantization</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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