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

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dc.contributor.authorMendis, B Sumudu
dc.contributor.authorGedeon, Tamas (Tom)
dc.date.accessioned2015-12-10T22:22:16Z
dc.date.issued2012
dc.date.updated2016-02-24T11:30:42Z
dc.description.abstractWe 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.
dc.identifier.issn0020-0255
dc.identifier.urihttp://hdl.handle.net/1885/52601
dc.publisherElsevier
dc.sourceInformation Sciences
dc.subjectKeywords: 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 Operator
dc.titleComplex Structured Decision Making Model: A hierarchical frame work for complex structured data
dc.typeJournal article
local.bibliographicCitation.lastpage106
local.bibliographicCitation.startpage85
local.contributor.affiliationMendis, B Sumudu, College of Engineering and Computer Science, ANU
local.contributor.affiliationGedeon, Tamas (Tom), College of Engineering and Computer Science, ANU
local.contributor.authoremailu4135721@anu.edu.au
local.contributor.authoruidMendis, B Sumudu, u4135721
local.contributor.authoruidGedeon, Tamas (Tom), u4088783
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.identifier.absfor080399 - Computer Software not elsewhere classified
local.identifier.absseo970108 - Expanding Knowledge in the Information and Computing Sciences
local.identifier.ariespublicationu4963866xPUB250
local.identifier.citationvolume194
local.identifier.doi10.1016/j.ins.2011.08.010
local.identifier.scopusID2-s2.0-84859155833
local.identifier.thomsonID000303092700007
local.identifier.uidSubmittedByu4963866
local.type.statusPublished Version

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