A unified granular fuzzy-neuro min-max relational framework for medical diagnosis
by Mokhtar Beldjehem
International Journal of Advanced Intelligence Paradigms (IJAIP), Vol. 3, No. 2, 2011

Abstract: We propose to accommodate herein our novel unified granular framework that uses a developed hybrid fuzzy-neuro relational system in order to tackle a complex medical diagnosis problem and to understand the influence of syndromes in relation to symptoms. To this goal, we propose to adapt our novel computational granular unified framework that is cognitively-motivated for learning IF-THEN fuzzy weighted diagnosis rules by using a hybrid neuro-fuzzy or fuzzy-neuro possibilistic model appropriately crafted as a means to automatically extract or learn diagnosis rules from only input-output examples by integrating some useful concepts from the human cognitive processes and adding some interesting granular functionalities. This learning scheme uses an exhaustive search over the fuzzy partitions of involved variables, automatic fuzzy hypotheses generation, formulation and testing, and approximation procedure of min-max relational equations. The main idea is to start learning from coarse fuzzy partitions of the involved proteins variations input variables and proceed progressively toward fine-grained partitions until finding the appropriate partitions that fit the data. According to the complexity of the problem at hand, it learns the whole structure of the fuzzy system, i.e., conjointly appropriate fuzzy partitions, appropriate fuzzy diagnosis rules, their number and their associated trapezoidal membership functions.

Online publication date: Tue, 30-Sep-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Advanced Intelligence Paradigms (IJAIP):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com