Hybrid Fuzzy result merging for metasearch using Analytic Hierarchy Process
Arijit De, Elizabeth Diaz · 2009
A metasearch engines is a tool that can be used to query multiple search engines in parallel. Functionally a metasearch engine passes the user query to multiple search engines, retrieves result lists of documents from them in response and then merges the result lists into one result list for the user. A key function of metasearch engines is to merge results returned by multiple search engines. Here we propose a new model for result merging that is based on Analytic Hierarch Process (AHP) and uses the OWA operator for aggregation. Our model combines the advantages of the pair wise document and search engine analysis provide by the AHP and the fuzzy aggregation provided by the OWA aggregation operator. We compare our Hybrid Fuzzy model with the OWA based model proposed by Diaz.