Enhancement of Fuzzy Rank Aggregation Technique

  • Mohd Zeeshan Ansari
  • M. M. Sufyan Beg
  • Manoj Kumar
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 381)


The rankings of an object based on different criteria pose the problem of choice to give a ranking to that object at a position nearest to all the rankings. Generating a ranking list of such objects previously ranked is called rank aggregation. The aggregated ranking is analyzed by computing Spearman Footrule distance. The ranking list chosen by minimizing Spearman Footrule distance is NP-Hard problem even if number of lists is greater than four for partial lists. In the context of web, rank aggregation has been applied in meta-searching. However, the usage of prevailing search engines and meta-search engines, even though some of them being designated as successful, reveal that none of them have been effective in production of reliable and quality results, the reason being many. In order to improve the rank aggregation, we proposed the enhancement in the existing Modified Shimura technique by the introduction of a new OWA operator. It not only achieved better performance but also outperformed other similar techniques.


Web Meta-searching Rank aggregation Spearman footrule distance Fuzzy logic 


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Copyright information

© Springer India 2016

Authors and Affiliations

  • Mohd Zeeshan Ansari
    • 1
  • M. M. Sufyan Beg
    • 2
  • Manoj Kumar
    • 3
  1. 1.Department of Computer EngineeringJamia Millia IslamiaNew DelhiIndia
  2. 2.Department of Computer EngineeringAligarh Muslim UniversityAligarhIndia
  3. 3.Department of Computer EngineeringDelhi Technological UniversityNew DelhiIndia

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