Idempotent weighted aggregation based on binary aggregation trees Dujmović, Jozo and Beliakov, Gleb 2017, Idempotent weighted aggregation based on binary aggregation trees, International journal of intelligent systems, vol. 32, no. 1, pp. 31-50, doi: 10.1002/int.21828. Attached Files Name Description MIMEType Size Downloads Title Idempotent weighted aggregation based on binary aggregation trees Author(s) Dujmović, Jozo Beliakov, Gleb orcid.org/0000-0002-9841-5292 Journal name International journal of intelligent systems Volume number 32 Issue number 1 Start page 31 End page 50 Total pages 20 Publisher John Wiley & Sons Place of publication Hoboken, N.J. Publication date 2017-01 ISSN 0884-8173 1098-111X Keyword(s) Science & Technology Technology Computer Science, Artificial Intelligence Computer Science Summary We propose weighted aggregation algorithms for creating general idempotent weighted aggregators of n variables derived from related symmetric idempotent aggregators of two variables. This computational method, together with interpolative aggregation, can be used for the development of general idempotent logic aggregators that satisfy a variety of conditions necessary for building decision models in the area of weighted compensative logic. Language eng DOI 10.1002/int.21828 Field of Research 080108 Neural, Evolutionary and Fuzzy Computation Socio Economic Objective 970101 Expanding Knowledge in the Mathematical Sciences HERDC Research category C1 Refereed article in a scholarly journal ERA Research output type C Journal article Copyright notice ©2016, Wiley Periodicals Persistent URL http://hdl.handle.net/10536/DRO/DU:30085248 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to Elements publication management system Go to link with your DU access privileges   Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Fri, 05 Aug 2016, 05:01:07 EST Fri, 05 Aug 2016, 06:14:39 EST Thu, 18 Aug 2016, 13:24:51 EST Thu, 18 Aug 2016, 13:33:06 EST Thu, 18 Aug 2016, 13:35:39 EST Wed, 05 Oct 2016, 09:44:56 EST Wed, 05 Oct 2016, 09:52:39 EST Mon, 10 Oct 2016, 14:33:59 EST Wed, 11 Jan 2017, 09:50:23 EST Mon, 22 May 2017, 10:04:25 EST Mon, 22 May 2017, 10:06:15 EST Filtered Full Citation counts:   Cited 6 times in TR Web of Science Cited 10 times in Scopus Search Google Scholar Access Statistics: 421 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Thu, 18 Aug 2016, 13:24:49 EST