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

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• 作者：B.S.U. Mendis ; ^{sumudu@cs.anu.edu.au} ; T.D. Gedeon ^{tom@cs.anu.edu.au}
• 关键词：Complex Structured Decision Making ; Fuzzy signatures ; Polymorphic fuzzy signatures ; Weighted Relevance Aggregation Operator ; Fuzzy integrals ; Choquet integral
• 刊名：Information Sciences
• 出版年：2012
• 期刊代码：62_00200255
• 类别：cp
• 出版时间：1 July, 2012
• 卷：194
• 期：Complete
• 页码：85-106
• 文件大小：1320 K

摘要

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.