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2017 | 27 | 1 | 157-167
Tytuł artykułu

Object-parameter approaches to predicting unknown data in an incomplete fuzzy soft set

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The research on incomplete fuzzy soft sets is an integral part of the research on fuzzy soft sets and has been initiated recently. In this work, we first point out that an existing approach to predicting unknown data in an incomplete fuzzy soft set suffers from some limitations and then we propose an improved method. The hidden information between both objects and parameters revealed in our approach is more comprehensive. Furthermore, based on the similarity measures of fuzzy sets, a new adjustable object-parameter approach is proposed to predict unknown data in incomplete fuzzy soft sets. Data predicting converts an incomplete fuzzy soft set into a complete one, which makes the fuzzy soft set applicable not only to decision making but also to other areas. The compared results elaborated through rate exchange data sets illustrate that both our improved approach and the new adjustable object-parameter one outperform the existing method with respect to forecasting accuracy.
Rocznik
Tom
27
Numer
1
Strony
157-167
Opis fizyczny
Daty
wydano
2017
otrzymano
2016-04-22
poprawiono
2016-09-05
zaakceptowano
2016-10-15
Twórcy
autor
  • College of Mathematics, Southwest Jiaotong University, Chengdu 610031, Sichuan, PR China
autor
  • College of Mathematics, Southwest Jiaotong University, Chengdu 610031, Sichuan, PR China
autor
  • College of Information Science and Technology, Southwest Jiaotong University, Chengdu 610031, Sichuan, PR China
  • Council for Scientific and Industrial Research, PO 132, Accra, Ghana
Bibliografia
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Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.bwnjournal-article-amcv27i1p157bwm
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