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  • 标题:Application of Generalized Measure of 'Useful' R-norm Inaccuracy and Total Ambiguity
  • 本地全文:下载
  • 作者:Saima M. Sofi ; Safeena Peerzada ; Mirza A. K. Baig
  • 期刊名称:International Journal of Intelligent Systems and Applications
  • 印刷版ISSN:2074-904X
  • 电子版ISSN:2074-9058
  • 出版年度:2021
  • 卷号:13
  • 期号:1
  • 页码:17-33
  • DOI:10.5815/ijisa.2021.01.02
  • 出版社:MECS Publisher
  • 摘要:In the present paper, we introduce generalized measure of 'useful' R-norm inaccuracy having two parameters and its analogue 'useful' R-norm total ambiguity measure by merging together the concepts of probability, fuzziness, R-norm, 'useful' information and inaccuracy. Along with the basic properties, some other important properties of these two proposed measures are stated. These measures are generalizations of some well-known inaccuracy measures. Further, the monotonic behaviour of the proposed 'useful' R-norm inaccuracy measures is studied and the graphical overview is given. The measure of information improvement for both the measures is also obtained. Lastly, the application of 'useful' R-norm total ambiguity measure is presented in terms of multi-criteria decision making. For all the numerical calculations R software is used.
  • 关键词:Fuzzy sets;inaccuracy measures;R-norm information measures; 'useful' information measures;total ambiguity measures;multi-criteria decision making
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