A Fuzzy Ordered Weighted Average (OWA) Approach to Result Merging for Metasearch Using the Analytical Network Process

Author

De, Arijit ; Diaz, Elizabeth D.

Author_Institution

TCS-Innovation Labs. Mumbai, Tata Consultancy Services, Mumbai, India

fYear

2011

fDate

19-20 Feb. 2011

Firstpage

17

Lastpage

20

Abstract

A metasearch engine is a Information Retrieval (IR) tool that greatly expands the scope of Internet Search. Functionally a metasearch engine passes a query to multiple search engines and combines and re-ranks results returned by them in one merged list. Result Merging is a key component of metasearch and different techniques have been applied to solve the problem. In this paper we propose a model for result merging based on Saty´s Analytical Network Process (ANP) and Yager´s Ordered Weighted Average operator. We compare our results with four existing models for result merging, namely the Borda-Fuse, Weighted Borda-Fuse, Condorcet Fuse and the OWA model.

Keywords

Internet; decision making; fuzzy set theory; information retrieval; search engines; Internet search; analytical network process; condorcet fuse; fuzzy ordered weighted average approach; information retrieval tool; metasearch engine; result merging; weighted borda fuse; Computational modeling; Fuses; Mathematical model; Merging; Metasearch; Open wireless architecture; Search engines; Fuzzy Sets; Information Retrieval; Metasearch Engines; Multi-criteria Decision Making; Soft Computing;

fLanguage

English

Publisher

ieee

Conference_Titel

Emerging Applications of Information Technology (EAIT), 2011 Second International Conference on

Conference_Location

Kolkata

Print_ISBN

978-1-4244-9683-9

Type

conf

DOI

10.1109/EAIT.2011.46

Filename

5734908