New Techniques to Analyse the Prediction of Fuzzy Models

Authors

Florentin Smarandache, University of New MexicoFollow
W.B. Vasantha KandasamyFollow
K. IlanthenralFollow

Document Type

Book

Publication Date

2014

Abstract

For the first time authors have ventured to study, analyse and investigate the properties of the fuzzy models, the experts opinion and so on. Here the concept of merged Fuzzy Cognitive Maps and Neutrosophic Cognitive Maps are carried out, which are based on merged graphs and merged matrices. This concept is better than the usual combined Fuzzy Cognitive Maps. Further by this new technique we are able to give equal importance to all the experts who work with the problem. Here the new concept of New Average Fuzzy Cognitive Maps and Neutrosophic Cognitive Maps is defined and described. This new tool helps in saving time and economy. Another new tool called Kosko Hamming distance of FCMs and NCMs are defined which measures the closeness or otherwise of the experts.

Publisher

EuropaNova, Brussels

ISSN

978-1-59973-297-8

Language (ISO)

English

Keywords

Fuzzy Cognitive Maps, Neutrosophic Cognitive Maps, Kosko Hamming distance

Recommended Citation

W.B. Vasantha Kandasamy, F. Smarandache, K. Ilanthenral. New Techniques to Analyse the Prediction of Fuzzy Models. Brussels: EuropaNova ASBL, 2014.

Creative Commons License

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