Using fuzzy sets to analyse personal preferences on groupware tools

When stakeholders are geographically distributed communication presents new challenges for software engineering community. In order to improve communication between stakeholders, we have previously proposed to apply learning style models to characterise the way people interact. In this work we enhance that model, using fuzzy reasoning, to find a set of rules that tell us which groupware tools are more suitable according to stakeholders classification.

[1]  Yingxu Wang,et al.  From cognitive psychology to cognitive informatics , 2003, The Second IEEE International Conference on Cognitive Informatics, 2003. Proceedings..

[2]  Jose Jesus Castro-Schez,et al.  Learning maximal structure rules in fuzzy logic for knowledge acquisition in expert systems , 1999, Fuzzy Sets Syst..

[3]  Alejandra Cechich,et al.  Classifying groupware tools to improve communication in geographically distributed elicitation , 2003 .

[4]  R. Felder,et al.  Learning and Teaching Styles in Engineering Education. , 1988 .

[5]  Daniela E. Damian,et al.  Using a groupware space for distributed requirements engineering , 1998, Proceedings Seventh IEEE International Workshop on Enabling Technologies: Infrastucture for Collaborative Enterprises (WET ICE '98) (Cat. No.98TB100253).

[6]  Richard M. Felder,et al.  MATTERS OF STYLE , 2004 .

[7]  Daniela E. Damian,et al.  The impact of stakeholders' geographical distribution on managing requirements in a multi-site organization , 2002, Proceedings IEEE Joint International Conference on Requirements Engineering.

[8]  Kazuo Tanaka,et al.  An Introduction to Fuzzy Logic for Practical Applications , 1996 .

[9]  Preston Gralla How Intranets Work , 1996 .

[10]  Yingxu Wang On Cognitive Informatics , 2003 .