Recommender systems have been served to assist decision making by recommending a list of items the end users. Multi-criteria recommender system (MCRS) is type which enhance recommendation performance taking user preferences on multiple criteria. Traditional algorithms for MCRS usually predict ratings these criteria, and finally estimate overall rating different aggregation functions. In this pa...

this paper introduces a new method for incorporating the performance of alternatives into their ultimate ranking in a linear assignment method. this method is one of multi-criteria decision-making methods, in which the weight of criteria is incorporated in ranking the alternatives, and the distance between the performances of alternatives do not affect in ranking the alternatives. in order to m...

multi attribute decision making methods are considered as one of the most useful methods for solving ranking problems. in some decision making problems, while the alternatives for corresponding criteria are compared in a pairwise comparison manner, if the criteria are inherently fuzzy, debates will arise in ranking alternatives due to the closeness of the values of the criteria. in this researc...

Multi attribute decision making methods are considered as one of the most useful methods for solving ranking problems. In some decision making problems, while the alternatives for corresponding criteria are compared in a pairwise comparison manner, if the criteria are inherently fuzzy, debates will arise in ranking alternatives due to the closeness of the values of the criteria. In this researc...