The Fuzzy Delphi Method (FDM) is one of the research methods used in obtaining experts’ consensus on specific issues. FDM a combination method and fuzzy theories. Although there are benefits using FDM, but literature review its application domain Human-Computer Interaction (HCI) still insufficient. Thus, this paper provided including HCI domain. This begins with presenting background methods, d...

The paper is devoted to the development of methods of ontology supported knowledge discovery in the field of mobile network subscribers. We develop the ontological model of the domain of mobile networks. This ontological model is intended to describe the behavior of mobile network subscribers. The ontological model is based on the four-level model of knowledge representation. In the paper, spec...

1, 2 a 3 Jose Galindo, * Juan Miguel Medina, M Carmen Aranda ́ Departamento Lenguajes y Ciencias de la Computacion, Universidad de ́ Malaga, E.T.S.I. Informatica 29071 Malaga, Spain ́ ́ ́ Departamento Ciencias de la Computacion e I.A., Universidad de Granada, ́ Av Andalucia no 38, 18071 Granada, Spain Departamento Lenguajes y Ciencias de la Computacion, Universidad de ́ Malaga, E.T.S.I. Informatica 29...

Knowledge-based systems (KBS) and intelligent computing systems have been used in the medical planning, diagnosis and treatment. The KBS consists of rule-based reasoning (RBR), case-based reasoning (CBR) and model-based reasoning (MBR) whereas intelligent computing method (ICM) encompasses genetic algorithm (GA), artificial neural network (ANN), fuzzy logic (FL) and others. The combination of m...

Pareto-optimality conditions are crucial when dealing with classic multi-objective optimization problems because we need to find out a set of optimal solutions rather than only one optimal solution to optimization problem with a single objective. Extensions of these conditions to the fuzzy domain have been discussed and addressed in recent literature. This work presents a novel approach based o...

Quantitative and qualitative fuzzy measures have been proposed to hesitant fuzzy sets 9 (HFSs) from different points. However, few of the existing HFSs fuzzy measures refer to the grey 10 relational analysis (GRA) theory. Actually, the GRA theory is very useful in the fuzzy measure 11 domain, which has been developed for such the intuitionistic fuzzy sets. Therefore, in this paper, 12 we apply ...

The gradient descent method and genetic algorithms have been widely used to re ne fuzzy models constructed for the given data. This paper approaches from another viewpoint to adjusting the fuzzy model built for the preprocessed data. The membership functions de ned for each premise variable are equally distributed and xed in the transformed domain. To better identify the fuzzy model, either the...