With rapid growth of information sources, it is essential to develop methods that retrieve most
relevant information according to the user requirements. One way of improving the quality of …

When a query is passed to multiple search engines, each search engine returns a ranked
list of documents. The problem of result merging is to fuse these ranked lists such that …

In practical term any result obtained using an ordered weighted averaging (OWA) operator
heavily depends upon the method to determine the weighting vector. Several approaches …

The quality of the ranking function is an important factor that determines the quality of the
Information Retrieval system. Each document is assigned a score by the ranking function; …

Each search engine queried by a metasearch engine returns results in the form of a result
list of documents. The key issue is to combine these lists to achieve the best performance …

A great deal of research has been made to model the vagueness and uncertainty in
information retrieval. One such research is fuzzy ranking models, which have been showing …

In this paper the definition of a meta search engine model, named SOFIA (soft fusion of
information accesses), is proposed that applies a flexible and soft fusion of the ranked lists of …

A new scenario has arisen into the information retrieval (IR) field with the increase in the use
of mark-up languages. This paper targets structured IR and is focused on documents with …

The relevant documents from large data sets are retrieved with the help of ranking function
in Information Retrieval system. In this paper, a new fuzzy logic based ranking function is …

It has been argued that the conventional fuzzy set model based on the MIN and MAX
operators is not appropriate for a model of information retrieval systems due to the properties …