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Sökning: L773:9783642044274

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1.
  • Guzaitis, Jonas, et al. (författare)
  • A framework for designing a fuzzy rule-based classifier
  • 2009
  • Ingår i: Algorithmic Decision Theory. - Berlin : Springer Berlin/Heidelberg. - 3642044271 - 9783642044274 ; , s. 434-445
  • Konferensbidrag (refereegranskat)abstract
    • This paper is concerned with a general framework for designing afuzzy rule-based classifier. Structure and parameters of theclassifier are evolved through a two-stage genetic search. Theclassifier structure is constrained by a tree created using theevolving SOM tree algorithm. Salient input variables are specificfor each fuzzy rule and are found during the genetic search process.It is shown through computer simulations of four real world problemsthat a large number of rules and input variables can be eliminatedfrom the model without deteriorating the classification accuracy.
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2.
  • Riabacke, Mona, 1976-, et al. (författare)
  • A Prescriptive Approach for Eliciting Imprecise Weight Statements in an MCDA Process
  • 2009
  • Ingår i: Lecture Notes in Computer Science Volume 5783. - Berlin / Heidelberg : Springer. - 9783642044274 ; , s. 168-179
  • Konferensbidrag (refereegranskat)abstract
    • In this article, we discuss decision making involving multiple objectives (MCDA) and especially the lack of more prescriptively useful elicitation methods for weights within MCDA. We highlight the discrepancy between how elicitation is handled in current decision analysis applications and the abilities of real decision-makers to provide what is required from them. Based on theory and highlighted problems with current methods, we propose a novel approach for weight elicitation which relaxes the need for numeric preciseness from decision-makers and reduces some of the practical issues related to such processes. The method is tested in a comparative study, as well as employed in a real-life case study.
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