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A key metasearch engine task is result merging of search results from multiple search engines in response to a user query. The problem of result merging has been widely studied as a multi-criteria decision making model (MCDM). While many MCDM techniques have been employed to create experimental models for result merging, the most notable have used fuzzy aggregation operators such as the OWA operators and its extensions and variations. In this work we study the role of applying fuzzy algebraic t-norms, s-norms and compensatory operators in fuzzy result merging for metasearch. Our results will demonstrate the superiority of compensatory operators over t-norm aggregation functions in the context of result merging for metasearch.

On the Role of Compensatory Operators in Fuzzy Result Merging for Metasearch