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International Journal of Machine Learning and Cybernetics
Erschienen in: International Journal of Machine Learning and Cybernetics 4/2017

31.12.2015 | Original Article

A novel decision making approach based on intuitionistic fuzzy soft sets

verfasst von: Haiyan Zhao, Weimin Ma, Bingzhen Sun

Erschienen in: International Journal of Machine Learning and Cybernetics | Ausgabe 4/2017

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Abstract

Molodtsov’s soft set was initiated as a general emerging mathematical tool to deal with uncertain problems, which is free from the limitations of other traditional mathematical tool. It has been proven that decision making based on soft sets boom in recent years in many different fields. In this paper, a novel multi-criteria ranking approach is generalized based on intuitionistic fuzzy soft sets. There will be only one optimal decision among all the selections, instead of several or all by this method. Firstly, we present several notations named degree-hesitation function, score function and accuracy function to intuitionistic fuzzy soft set, and then give several principles based on these concepts. Some different decision making algorithms can be got for different preference, and a concrete algorithm is proposed in a certain condition. Moreover, we introduced the weighted ranking approach to the weighted intuitionistic fuzzy soft set. At the same time, both of these situations are proved to be effective with the help of examples. Finally, we conclude the research and further research directions.
Vorheriger Artikel Bayesian network structure training based on a game of learning automata
Nächster Artikel Separation of dynamic data and recovery of P-abnormal data

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Metadaten
Titel
A novel decision making approach based on intuitionistic fuzzy soft sets
verfasst von
Haiyan Zhao
Weimin Ma
Bingzhen Sun
Publikationsdatum
31.12.2015
Verlag
Springer Berlin Heidelberg
Erschienen in
International Journal of Machine Learning and Cybernetics / Ausgabe 4/2017
Print ISSN: 1868-8071
Elektronische ISSN: 1868-808X
DOI
https://doi.org/10.1007/s13042-015-0481-z

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