Data, as being the vital input of system modelling, contain dissimilar level of imprecision that necessitates different modelling approaches for proper analysis of the systems. Numbers …
The number of people with a chronic disease is rapidly increasing, giving the healthcare industry more challenging problems. To date, there exist several ontology and IoT-based …
F Bobillo, U Straccia - International journal of approximate reasoning, 2011 - Elsevier
The need to deal with vague information in Semantic Web languages is rising in importance and, thus, calls for a standard way to represent such information. We may address this issue …
Abstract World Wide Web (WWW) constitutes fuzzy information and requires soft computing techniques to deal context of the query. It works on the principle of keyword matching …
CS Lee, MH Wang - IEEE Transactions on Systems, Man, and …, 2010 - ieeexplore.ieee.org
An increasing number of decision support systems based on domain knowledge are adopted to diagnose medical conditions such as diabetes and heart disease. It is widely …
Recommender systems evaluate and filter the vast amount of information available on the Web, so they can be used to assist users in the process of accessing to relevant information …
With the rapidly growing number of available Cloud services, to fulfill the need for ordinary users to select accurate services has become a significant challenge. However, as a Cloud …
YY Lin, JY Chang, CT Lin - IEEE Transactions on Industrial …, 2013 - ieeexplore.ieee.org
In this paper, a Takagi-Sugeno-Kang (TSK)-type-based self-evolving compensatory interval type-2 fuzzy neural network (FNN)(TSCIT2FNN) is proposed for system modeling and noise …
F Bobillo, U Straccia - Knowledge-Based Systems, 2016 - Elsevier
Classical, two-valued, ontologies have been successfully applied to represent the knowledge in many domains. However, it has been pointed out that they are not suitable in …