Title : 
Noble reinforcement in disjunctive aggregation operators
         
        
            Author : 
Yager, Ronald R.
         
        
            Author_Institution : 
Machine Intelligence Inst., Iona Coll., New Rochelle, NY, USA
         
        
        
        
        
        
        
            Abstract : 
We discuss the role of disjunctive aggregation operators in prototype based reasoning systems such as recommender systems. We indicate a need for these aggregation operators to have the additional property of noble reinforcement: Allowing a collection of high valued arguments to reinforce each other to give complete satisfaction while avoiding the situation in which a collection of low valued arguments act in the same way. We describe the difficulty that most t-conorms have in realizing this feature of noble reinforcement. We show that by relaxing the requirement of associativity we can provide disjunctive type aggregation operators that manifest noble reinforcement.
         
        
            Keywords : 
aggregation; fuzzy logic; fuzzy set theory; inference mechanisms; complete satisfaction; disjunctive aggregation operators; fuzzy logic; high valued arguments; low valued arguments; noble reinforcement; prototype based reasoning systems; recommender systems; t-conorms; triangular norms; Aggregates; Commutation; Fuzzy logic; Fuzzy systems; Machine intelligence; Nearest neighbor searches; Prototypes; Recommender systems;
         
        
        
            Journal_Title : 
Fuzzy Systems, IEEE Transactions on
         
        
        
        
        
            DOI : 
10.1109/TFUZZ.2003.819840