On Inheritance of Complementarity in Non-Additive Measures Under Bounded Interactions
Author(s) -
Katsushige Fujimoto
Publication year - 2018
Publication title -
journal of advanced computational intelligence and intelligent informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.172
H-Index - 20
eISSN - 1343-0130
pISSN - 1883-8014
DOI - 10.20965/jaciii.2018.p0027
Subject(s) - superadditivity , complementarity (molecular biology) , computer science , subadditivity , bounded function , inheritance (genetic algorithm) , mathematical economics , monotonic function , cooperative game theory , measure (data warehouse) , game theory , mathematical optimization , theoretical computer science , mathematics , discrete mathematics , data mining , mathematical analysis , biochemistry , chemistry , genetics , gene , biology
The notions of k -monotonicity and superadditivity for non-additive measures (e.g., capacity and cooperative games) are used as indices to measure the complementarity of criteria/coalitions in decision-making involving multiple criteria and/or cooperative game theory. To avoid exponential complexity in capacity-based multicriteria decision-making models, k -additive capacities and/or -decomposable capacities are often adopted. While, in cooperative game theory, under communication-restricted situations, some coalitions cannot generally be formed. This paper investigates the inheritance of complementary relationships/effects in non-additive measures with restricted domains (or under bounded interactions).
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