Fuzzy measure analysis of public attitude towards the use of nuclear energy
Fuzzy Sets and Systems
The use of fuzzy outranking relations in preference modelling
Fuzzy Sets and Systems - Special issue dedicated to Professor Claude Ponsard
Some quantities represented by the Choquet integral
Fuzzy Sets and Systems
Identification of &lgr;-fuzzy measure by genetic algorithms
Fuzzy Sets and Systems
GroupLens: applying collaborative filtering to Usenet news
Communications of the ACM
Choquet integral and fuzzy measures on locally compact space
Fuzzy Sets and Systems
An algorithmic framework for performing collaborative filtering
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
A genetic algorithm for determining nonadditive set functions in information fusion
Fuzzy Sets and Systems - Special issue on fuzzy measures and integrals
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms: Concepts and Designs with Disk
Genetic Algorithms: Concepts and Designs with Disk
Fuzzy Measure Theory
Classification and Modeling with Linguistic Information Granules: Advanced Approaches to Linguistic Data Mining (Advanced Information Processing)
Hierarchical MADM with fuzzy integral for evaluating enterprise intranet web sites
Information Sciences—Informatics and Computer Science: An International Journal
IEEE Transactions on Knowledge and Data Engineering
Statistical Comparisons of Classifiers over Multiple Data Sets
The Journal of Machine Learning Research
New Recommendation Techniques for Multicriteria Rating Systems
IEEE Intelligent Systems
Genetic algorithms for determining fuzzy measures from data
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Major components of the gravity recommendation system
ACM SIGKDD Explorations Newsletter - Special issue on visual analytics
Applying fuzzy measures and nonlinear integrals in data mining
Fuzzy Sets and Systems
Recommender Systems Handbook
Recommender Systems: An Introduction
Recommender Systems: An Introduction
Fuzzy Classifier Design
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The main aim of the popular collaborative filtering approaches for recommender systems is to recommend items that users with similar preferences have liked in the past. Although single-criterion recommender systems have been successfully used in several applications, multi-criteria rating systems that allow users to specify ratings for various content attributes for individual items are gaining in importance. To measure the overall similarity between any two users for multi-criteria collaborative filtering, the indifference relation in outranking relation theory, which can justify discrimination between any two patterns, is suitable for multi-criteria decision making (MCDM). However, nonadditive indifference indices that address interactions among criteria should be taken into account. This paper proposes a novel similarity-based perceptron using nonadditive indifference indices to estimate an overall rating that a user would give to a specific item. The applicability of the proposed model to recommendation of initiators on a group-buying website was examined. Experimental results demonstrate that the proposed model performs well in terms of generalization ability compared to other multi-criteria collaborative filtering approaches.