Complex Structured Decision Making Model: A hierarchical frame work for complex structured data

Authors:
B. S. U. Mendis;T. D. Gedeon
Affiliations:
Research School of Computer Science, The Australian National University, Canberra, ACT 0200, Australia;Research School of Computer Science, The Australian National University, Canberra, ACT 0200, Australia
Venue:
Information Sciences: an International Journal
Year:
2012

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Abstract

We 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.