scispace - formally typeset
Proceedings ArticleDOI

Hybrid model for medical diagnosis using Neutrosophic Cognitive Maps with Genetic Algorithms

Reads0
Chats0
TLDR
This paper presents a combination of two soft computing techniques: Neutrosophic cognitive maps and Genetic algorithm for modeling of medical disease diagnosis to provide distinct diagnosis of disease in medical decision support system.
Abstract
This paper presents a combination of two soft computing techniques: Neutrosophic cognitive maps and Genetic algorithm for modeling of medical disease diagnosis. Earlier, medical decision support system was proposed by many researchers where cognitive maps along with genetic algorithm were experimented. The hybrid model of fuzzy cognitive maps with genetic algorithm was implemented to handle situations where decisions are not clearly distinct. In real world situation data is not always consistent so, authors proposed a new hybrid model of Neutrosophic Cognitive Maps with Genetic Algorithms to handle indeterminacy. The proposed model will provide distinct diagnosis of disease in medical decision support system.

read more

Citations
More filters
Posted Content

Single valued neutrosophic graphs

TL;DR: In this article, the concept of single valued neutrosophic sets (SVNGs) was introduced and investigated in the context of graph analysis, with proofs and examples.
Proceedings ArticleDOI

Single valued neutrosophic graphs: Degree, order and size

TL;DR: In this paper, the properties of various types of degrees, order and size of single valued neutrosophic graphs are examined and a new definition for regular SVN-graphs is given.
Posted Content

Interval Valued Neutrosophic Graphs

TL;DR: This work applies for the first time the concept of interval valued neutrosophic sets, an instance of neutrosophile sets, to graph theory.
Journal Article

Shortest path problem under interval valued neutrosophic setting

TL;DR: In this paper, the authors presented a study of neutrosophic shortest path with interval valued neutrosphic number on a network and gave the shortest path length using ranking function from source node to destination node.
Proceedings ArticleDOI

Shortest path problem under triangular fuzzy neutrosophic information

TL;DR: A new approach to deal with neutrosphic shortest path problem in a network in which each edge weight (or length) is represented as triangular fuzzy neutrosophic number is developed.
References
More filters
Book

Genetic Algorithms

Proceedings ArticleDOI

On genetic algorithms

TL;DR: C Culling is near optimal for this problem, highly noise tolerant, and the best known a~~roach in some regimes, and some new large deviation bounds on this submartingale enable us to determine the running time of the algorithm.
Journal ArticleDOI

Fuzzy cognitive maps

TL;DR: A fuzzy causal algebra for governing causal propagation on FCMs is developed and it allows knowledge bases to be grown by connecting different FCMs.
Journal ArticleDOI

Neural networks in business: a survey of applications (1992–1998)

TL;DR: Although still regarded as a novel methodology, neural networks are shown to have matured to the point of offering real practical benefits in many of their applications.
Journal ArticleDOI

A multilayer perceptron-based medical decision support system for heart disease diagnosis

TL;DR: The results show that the proposed MLP-based decision support system can achieve very high diagnosis accuracy (>90%) and comparably small intervals (<5%), proving its usefulness in support of clinic decision process of heart diseases.
Related Papers (5)