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Soft Computing
Published in: Soft Computing 23/2017

08-07-2016 | Methodologies and Application

Ranking of incomplete trapezoidal information

Authors: V. Lakshmana Gomathi Nayagam, S. Jeevaraj, Geetha Sivaraman

Published in: Soft Computing | Issue 23/2017

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Abstract

Any information system or decision model which consists of combinations of quantitative, qualitative, imprecise and incomplete informations can be modelled better using trapezoidal intuitionistic fuzzy numbers (TrIFNs) than interval valued intuitionistic fuzzy numbers. Ranking of TrIFNs plays an important role in intuitionistic fuzzy decision-making or intuitionistic fuzzy information system. In this paper, a new method for ranking of TrIFNs using membership, non-membership, vague and precise score functions which generalises the membership, non-membership, vague and precise score functions defined in Geetha et al. (Expert Syst Appl 41:1947–1954, 2014) is proposed and a new algorithm for solving information system problem with incomplete information is introduced. Further, the significance of our proposed method over the existing methods is studied by an illustrative example.
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Metadata
Title
Ranking of incomplete trapezoidal information
Authors
V. Lakshmana Gomathi Nayagam
S. Jeevaraj
Geetha Sivaraman
Publication date
08-07-2016
Publisher
Springer Berlin Heidelberg
Published in
Soft Computing / Issue 23/2017
Print ISSN: 1432-7643
Electronic ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-016-2256-1

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