Intelligent decision support and information systems in enterprise: evolutionary-based optimization

Author

Nikravesh, Masoud

Author_Institution

Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA

Volume

2

fYear

2005

fDate

25-27 July 2005

Firstpage

587

Abstract

Most of the existing search systems ´´software´ are modeled using crisp logic and queries. We introduce fuzzy querying and ranking as a flexible tool allowing approximation where the selected objects do not need to match exactly the decision criteria resembling natural human behavior. The model consists of five major modules: the fuzzy search engine, the application templates, the user interface, the database and the evolutionary computing. The system is designed in a generic form to accommodate more diverse applications and to be delivered as stand-alone software to academia and businesses.

Keywords

decision support systems; evolutionary computation; fuzzy set theory; knowledge based systems; search engines; user interfaces; application template; enterprise intelligent decision support system; enterprise intelligent information system; evolutionary computing; evolutionary-based optimization; fuzzy logic; fuzzy querying; fuzzy ranking; fuzzy search engine; user interface; Application software; Computer interfaces; Databases; Decision support systems; Information systems; Knowledge management; Logic; Search engines; Software systems; User interfaces; Decision Support; Enterprise; Fuzzy Logic; Information systems; Optimization; Soft Computing;

fLanguage

English

Publisher

ieee

Conference_Titel

Granular Computing, 2005 IEEE International Conference on

Print_ISBN

0-7803-9017-2

Type

conf

DOI

10.1109/GRC.2005.1547360

Filename

1547360