Title :
A Fuzzy Paradigm Approach for Business Process Intelligence
Author :
Thomas, Oliver ; Adam, Otmar ; Leyking, Katrina ; Loos, Peter
Author_Institution :
Inst. for Inf. Syst., Saarland Univ., Saarbruecken
Abstract :
The controllability of business processes and their agility in the sense of their easy adjustment to changes in the business environment are critical success factors. A special form of business intelligence targeted towards business processes and extended by the methods of soft computing with the name "soft business process intelligence" was recommended in this article. First, the modeling of business processes with regard to the structuring of models and the formalization of fuzziness using the fuzzy-set-theory was adjusted. Then, a prototypical software implementation was presented which will provide insights as to how artificial neural networks can be used to uncover business logic in processes (process mining), as well as for the improvement of business processes through learning
Keywords :
business data processing; competitive intelligence; fuzzy set theory; learning (artificial intelligence); neural nets; artificial neural network; business logic; business process mining; fuzzy set theory; soft business process intelligence; soft computing; software implementation; Application software; Artificial intelligence; Artificial neural networks; Contracts; Fuzzy control; Fuzzy systems; Information management; Knowledge management; Management information systems; Risk management;
Conference_Titel :
E-Commerce Technology, 2006. The 8th IEEE International Conference on and Enterprise Computing, E-Commerce, and E-Services, The 3rd IEEE International Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7695-2511-3
DOI :
10.1109/CEC-EEE.2006.3