This paper describes an interval type-2 fuzzy modeling framework, reduced-set vector-based interval type-2 fuzzy neural network (RV-based IT2FNN), to characterize the representation in fuzzy logic inference procedure. The model proposed introduces the concept of interval kernel to interval type-2 fuzzy membership, and provides an architecure to extract reduced-set vectors for generating interva...

Helper T(Th) cells regulate immune response by producing various kinds of cytokines in response to antigen stimulation. The regulatory functions of Th cells are promoted by their differentiation into two distinct subsets, Th1 and Th2 cells. Th1 cells are involved in inducing cellular immune response by activating cytotoxic T cells. Th2 cells trigger B cells to produce antibodies, protective pro...

in this context and for helping to manufacturing industries in this research an attempt has been made to provide a method to managers of evaluating and ranking of agility strategies by using of a fuzzy inference system which is a branch of artificial intelligence. this research has been performed in three sequential phases. firstly, some variables, as factors of agility drivers, agility capabil...

An inference engine using fuzzy logic is proposed for the analysis of Likert-type questionnaire. This method was used to understand and incorporate the imprecision of items in a questionnaire so that a single score that encompassed the different scales of the questionnaire could be created. A parent-rated questionnaire called the Parent Checklist of Peer Relationships (PCPR) was used as an exam...

Robot application in mechanical machining is growing day by because it has many advantages over conventional machines such as high flexibility, large working space, and repeatability. Many degrees of freedom motion give robots the ability to perform complex technological operations, but also that, methods controlling based on dynamic models have difficulties. Applying fuzzy logic robot control ...

In today’s world there is exponential increase in the use of air conditioning devices. The enhancement in utilization of such devices makes it essential for them to work with their full capability and efficiency. The fuzzy inference systems are best suited for the applications requiring easy interpretation, human reasoning, accurate decision making and control. The fuzzy inference systems resem...

A multi objective Honey Bee Mating Optimization (HBMO) designed by online learning mechanism is proposed in this paper to optimize the double Fuzzy-Lead-Lag (FLL) stabilizer parameters in order to improve low-frequency oscillations in a multi machine power system. The proposed double FLL stabilizer consists of a low pass filter and two fuzzy logic controllers whose parameters can be set by the ...

In Mobile ad hoc Networks (MANETs), the packet scheduling process is considered major challenge because of error-prone connectivity among mobile nodes that introduces intolerable delay and insufficient throughput with high loss. this paper, a Modified Firefly Optimization Algorithm improved Fuzzy Scheduler-based Packet Scheduling (MFPA-FSPS) Mechanism proposed for sustaining Quality Service (Qo...

Data stream monitoring provides the basis for building intelligent context-aware applications over contextual data streams. A number of wireless sensors could be spread in a specific area and monitor contextual parameters for identifying phenomena e.g., fire or flood. A back-end system receives measurements and derives decisions for possible abnormalities related to negative effects. We propose...

Most of researches on image forensics have been mainly focused on detection of artifacts introduced by a single processing tool. They lead in the development of many specialized algorithms looking for one or more particular footprints under specific settings. Naturally, the performance of such algorithms are not perfect, and accordingly the provided output might be noisy, inaccurate and only pa...