New Techniques to Analyse the Prediction of Fuzzy Models

By Kandasamy, W. B. Vasantha

Book Id: WPLBN0100303075
Format Type: PDF eBook:
File Size: 13.70 MB
Reproduction Date: 10/6/2014

Title:	New Techniques to Analyse the Prediction of Fuzzy Models
Author:	Kandasamy, W. B. Vasantha
Volume:
Language:	English
Subject:	Non Fiction, Science
Collections:	Mathematics, Authors Community
Historic Publication Date:	2014
Publisher:	Educational Publisher

Member Page:	Infinite Science
Citation APA MLA Chicago B. Vasantha Kandasam, B. W., & Smarandache, F. (2014). New Techniques to Analyse the Prediction of Fuzzy Models. Retrieved from http://self.gutenberg.org/

Description
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. The node with maximum vertices is usually termed as a powerful node but here the influential node in a FCMs (NCMs) is a node whose on state makes on the most number of nodes in the hidden pattern given by it.