This paper presents a group multi-criteria DEMATEL and VIKOR decision analysis method with interval type-2 fuzzy sets. In order to compare normal fuzzy trapezoidal numbers, we convert them into crisp values using graded mean integration representation. By a case study for selection of business intelligence platform, we prove that the proposed combination is a feasible solution that can work wit...

Ontologies play a central role in semantic applications: by providing semantics to the given data, they support the integration and automated processing of knowledge. Systems for ontology-based data access do however not take into account both the fuzzy and the temporal nature of the knowledge, which is often inherent in realworld data. In this paper, we propose an approach for temporal query a...

This paper describes the optimization of an integration block within the proposed navigation control system for a mobile robot. The control blocks that the integrator will combine are two Fuzzy Inference Systems (FIS) in charge of tracking and reaction control, respectively. The integrator block is called a Weighted Fuzzy Inference System (WFIS) and assigns weigh...

Quality of life has currently been intensively studied and assessed by using a variety of indicators. Information and communication technologies, or more precisely geographical information technologies, prove invaluable in this process. It is clearly difficult to quantify and spatially localize the quality of life. Fuzzy sets allow the capturing of uncertainty. This article deals with the integ...

In practical applications of control in industry many problems appear due to the presence of variable delays and sensor malfunctions causing loss of data availability during a certain amount of time. Thus, the joint handling of the reasoning procedure (in our case using fuzzy rulebases), the missing measurements (scarce data) and the use of irregular sampling patterns is needed to replicate hum...

In this paper, a novel approach is proposed to determine the electronic system components of a smart clothing system design developed for blinds. The integration of diverse components which are developed and produced by different technologies and materials is a major challenge in a smart clothing system technology. Therefore, an integrated methodology based on fuzzy analytic hierarchy process (...

In order to improve the performance of robot dexterous hand, a controller based on GA-fuzzy-immune PID was designed. The control system of a robot dexterous hand and mathematical model of an index finger were presented. Moreover, immune mechanism was applied to the controller design and an improved approach through integration of GA and fuzzy inference was proposed to realize parameters' optimi...

In a recent paper in this journal Kuo, Chi and Kao [R.J. Kuo, S.C. Chi, S.S. Kao, A decision support system for selecting convenience store location through integration of fuzzy AHP and artificial neural network, Computers in Industry 47 (2002) 199–214] suggest an integrated fuzzy AHP and artificial neural network approach for locating a new convenience store. In this note we correct an error i...

An analog sequential architecture for efficient neuro-fuzzy models implementation is proposed. The best features of digital and analog domains are combined to provide a high degree of flexibility (in terms of number of inputs, number of membership functions per input and number of fuzzy rules) when handling real world tasks. The performance estimations show a good area/throughput ratio, thus ma...

A hybrid unsupervised learning algorithm, termed as rough-fuzzy c-means, is proposed in this paper. It comprises a judicious integration of the principles of rough sets and fuzzy sets. While the concept of lower and upper approximations of rough sets deals with uncertainty, vagueness, and incompleteness in class definition, the membership function of fuzzy sets enables efficient handling of ove...