Elements of information theory
Elements of information theory
Classification by fuzzy integral: performance and tests
Fuzzy Sets and Systems - Special issue on fuzzy methods for computer vision and pattern recognition
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy integral in multicriteria decision making
Fuzzy Sets and Systems - Special issue on fuzzy information processing
k-order additive discrete fuzzy measures and their representation
Fuzzy Sets and Systems - Special issue on fuzzy measures and integrals
Equivalent Representations of Set Functions
Mathematics of Operations Research
Alternative representations of discrete fuzzy measures for decision making
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems - Special issue on fuzzy measures and integrals in subjective evaluation
An axiomatic approach of the discrete Choquet integral as a tool to aggregate interacting criteria
IEEE Transactions on Fuzzy Systems
The measure of interaction among players in games with fuzzy coalitions
Fuzzy Sets and Systems
Intuitionistic fuzzy Choquet integral operator for multi-criteria decision making
Expert Systems with Applications: An International Journal
Computational Statistics & Data Analysis
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 4
Expert Systems with Applications: An International Journal
Group decision making with linguistic preference relations with application to supplier selection
Expert Systems with Applications: An International Journal
Induced continuous Choquet integral operators and their application to group decision making
Computers and Industrial Engineering
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Interaction phenomena among elements of a finite set can be modeled by a discrete fuzzy measure. The notion of marginal interaction between two elements is at the root of the definition of interaction. We first extend this notion by defining that of marginal interaction among pairwise disjoint subsets and we study some of its properties. Then, we generalize the notion of interaction index to pairwise disjoint subsets. Finally, we formalize the intuitive notion of independence and we propose the concept of measure of marginal amount of interaction in order to "fill the gap" between the notions of interaction and independence.