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Table 4 Fuzzy pairwise comparison matrix

From: An integrated model for evaluation of big data challenges and analytical methods in recommender systems

RSs

properties

Adaptivity

Scalability

Robustness

User Preference

Diversity

Confidence

Coverage

Trust

Serendipity

Utility

Novelty

Prediction Accuracy

Privacy

Risk

Adaptivity

(1, 1, 1)

(1, 1/3, 1/5)

(5, 7, 9)

(7, 9, 10)

(1/5, 1/7, 1/9)

(7, 9, 10)

(7, 9, 10)

(1, 1/3, 1/5)

(1/7, 1/9, 1/10)

(7, 9, 10)

(7, 9, 10)

(1, 1/3, 1/5)

(1/5, 1/7, 1/9)

(5, 7, 9)

Scalability

 

(1, 1, 1)

(7, 9, 10)

(7, 9, 10)

(1, 3, 5)

(1, 3, 5)

(7, 9, 10)

(7, 9, 10)

(1, 3, 5)

(7, 9, 10)

(7, 9, 10)

(7, 9, 10)

(5, 7, 9)

(7, 9, 10)

Robustness

  

(1, 1, 1)

(1, 1, 1)

(1, 1/3, 1/5)

(1, 1/3, 1/5)

(1, 1, 1)

(1, 1/3, 1/5)

(1/7, 1/9, 1/10)

(1, 1/3, 1/5)

(1, 1/3, 1/5)

(1, 1/3, 1/5)

(1/7, 1/9, 1/10)

(1, 1/3, 1/5)

User Preference

   

(1, 1, 1)

(1, 1/3, 1/5)

(1, 1/3, 1/5)

(1, 1/3, 1/5)

(1, 1/3, 1/5)

(1/7, 1/9, 1/10)

(1, 1, 1)

(1, 1/3, 1/5)

(1/7, 1/9, 1/10)

(1/7, 1/9, 1/10)

(1, 1, 1)

Diversity

    

(1, 1, 1)

(1, 3, 5)

(7, 9, 10)

(1, 3, 5)

(1, 1/3, 1/5)

(1, 3, 5)

(1, 3, 5)

(1, 3, 5)

(1, 1, 1)

(1, 3, 5)

Confidence

     

(1, 1, 1)

(1, 3, 5)

(1, 3, 5)

(1/7, 1/9, 1/10)

(1, 3, 5)

(1, 1/3, 1/5)

(1, 1/3, 1/5)

(1/7, 1/9, 1/10)

(7, 9, 10)

Coverage

      

(1, 1, 1)

(1, 1/3, 1/5)

(1, 1/3, 1/5)

(1, 1/3, 1/5)

(1, 1/3, 1/5)

(1, 1/3, 1/5)

(1, 1/3, 1/5)

(1, 1, 1)

Trust

       

(1, 1, 1)

(1, 1/3, 1/5)

(1, 3, 5)

(1, 3, 5)

(1, 3, 5)

(1/7, 1/9, 1/10)

(1, 3, 5)

Serendipity

        

(1, 1, 1)

(7, 9, 10)

(7, 9, 10)

(7, 9, 10)

(1, 3, 5)

(7, 9, 10)

Utility

         

(1, 1, 1)

(1, 1/3, 1/5)

(1, 1/3, 1/5)

(1/7, 1/9, 1/10)

(1, 1, 1)

Novelty

          

(1, 1, 1)

(1, 1/3, 1/5)

(1/7, 1/9, 1/10)

(1, 3, 5)

Prediction Accuracy

           

(1, 1, 1)

(1/7, 1/9, 1/10)

(1, 3, 5)

Privacy

            

(1, 1, 1)

(7, 9, 10)

Risk

             

(1, 1, 1)