Mendis, B SumuduGedeon, Tamas (Tom)2015-12-100020-0255http://hdl.handle.net/1885/52601We introduce a hierarchical framework we call Complex Structured Decision Making model for complexly structured knowledge representation in intelligent decision making. We show that our model extends non-hierarchical (flat) decision making models to hierarchical decision making models that are similar to comprehensible human decision making processes. Further, we make an argument that hierarchial representation of knowledge in a Complex Structured Decision Making Model simplifies the approximation of aggregation functions to easily adapt to the underline relation of the system. Additionally, using a real world complex structured data set, we show that hierarchically organized Fuzzy Integrals, e.g. Choquet Integral, and Sugeno Integral and Fuzzy Signatures outperform these non-hierarchical Fuzzy Integrals.Keywords: Aggregation functions; Choquet integral; Decision making models; Frame-work; Fuzzy integral; Fuzzy signatures; Human decision making; Intelligent decision making; Structured data; Sugeno integrals; Weighted Relevance Aggregation Operator; Integral equatio Choquet integral; Complex Structured Decision Making; Fuzzy integrals; Fuzzy signatures; Polymorphic fuzzy signatures; Weighted Relevance Aggregation Operator201210.1016/j.ins.2011.08.0102016-02-24