Title: E-Business-Process-Personalization using
Neuro-Fuzzy Adaptive Control for Interactive Systems
Abstract: In this paper, we analyze the problems
of current web search engines, and the need for a new design is justified,
some ideas on how to improve current web searchengines are presented, and
then an adaptive method for web meta-search engines witha multi-agent specially
the mobile agents is presented to make search engines work more efficiently.
In the method, the cooperation between stationary and mobile agents is used
to make more efficiency. The meta-search engine gives the user needed documents
based on the multi-stage mechanism. The merge of results from the search
engines in the network, is done by parallel, and by using a reduction parallel
algorithm, which in turn increases the efficiency of this method. Furthermore,
a feedback mechanism gives the meta-search engine the user's suggestions
about the found documents, which leads to new query using a genetic algorithm.
In the new search stage, more relevant documents are given to the user. The
practical experiments performed in Aglets programming environment. The results
achieved from these experiments confirm efficiency and adaptability of the
method.
Authors: Zunaira
Munir, Gui Hua Nie, Adeel Talib, and Mudassir Ilyas