Attribute weight computation in a decision making problem by particle swarm optimization

The objective of this paper is to introduce a method for computing weights of attributes in a decision making problem under intuitionistic fuzzy environment. Many weight generation methods exist in the literature under intuitionistic fuzzy setting, but they have some limitations which can be pointed...

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Veröffentlicht in:	Neural computing & applications Jg. 31; H. 7; S. 2495 - 2505
Hauptverfasser:	Das, Satyajit, Guha, Debashree
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Springer London 01.07.2019 Springer Nature B.V
Schlagworte:	Artificial Intelligence Comparative studies Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Conflict resolution Data Mining and Knowledge Discovery Decision making Fuzzy logic Fuzzy sets Image Processing and Computer Vision Mathematical programming Methods Multiple objective analysis Original Article Particle swarm optimization Probability and Statistics in Computer Science Weighting methods Intuitionistic fuzzy set Fuzzy optimization Multi-objective programming problem Particle swarm optimization
ISSN:	0941-0643, 1433-3058
Online-Zugang:	Volltext
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