The application of Artificial Intelligence (AI) methods in power system protection has been addressed in this paper. Particular emphasis has been put on Artificial Neural Networks (ANN) and Fuzzy Logic (FL). Several novel concepts have been introduced including ANN application to CT and CVT transients correction, fuzzy criteria signals, fuzzy settings and multi-criteria decision making for digi...

control has become a major field of application for AI technologies. Techniques such as neural networks, genetic algorithms, fuzzy rules and, recently, multiagent systems and AI planning have been adopted by leading elevator companies not only to improve the transportation capacity of conventional elevator systems but also to revolutionize the way in which elevators interact with and serve pass...

In this paper, we propose a fuzzy aggregate production planning (APP) model for blending problem in a brass factory which is the problem of computing optimal amounts of raw materials for the total production of several types of brass in a period. The model has deterministic and imprecise parameters which follows triangular possibility distributions. The brass casting APP model can not always be...

| This paper introduces a new tournament selection algorithm that can be used for evolutionary path planning systems. The fuzzy tournament selection algorithm (FTSA) described in this paper selects candidate paths (CPs) to be parents and undergo reproduction based on: (1) the euclidean distance of a path from the origin to its destination, (2) the sum of the changes in the slope of a path, and ...

In this paper, the problem of multi-objective trajectory planning is studied for redundant planar serial manipulators using a data-driven hybrid neuro-fuzzy system. This system has been developed in two major steps. First, an offline planning is performed to generate a large dataset of multi-criteria trajectories, covering mostly of the robot workspace. The later is based on a full kinematic an...

A bulk of research is being done for the autonomous navigation of a mobile robot. Multi-robot motion planning techniques often assume a direct communication amongst the robots, which makes them practically unusable. Similarly approaches assuming the robot moving amidst humans assume cooperation of humans which may not be the case if the human is replaced by a robot. In this paper a deliberative...

data envelopment analysis (dea) is a managerial powerful tool for assess the performance of decision making units (dmus). nowadays, multi-objective dea models are an attractive technique for evaluation quantity and quality aspects of performance analysis. but these models are in static. in this paper, we want to present a proposed fuzzy dynamic multi-objective dea model in which data are changi...

Partial evaluation (PE) is an automatic program transformation technique aiming to obtain, among other advantages, the optimization of a program with respect to parts of its input: hence, it is also known as program specialization. This paper introduces the subject of PE into the field of fuzzy logic programming. We define the concept of PE for multi-adjoint logic programs and goals, and apart ...

We proposed the theory of multi-fuzzy sets [Sabu and Ramakrishnan (2010a), (2011a)] as an extension of theories of fuzzy sets, L-fuzzy sets [Goguen (1967)] and intuitionistic fuzzy sets [Atanassov (1986)]. Theory of multi-fuzzy sets deals with multi-level fuzziness and multi-dimensional fuzziness. Our previous papers discussed the basic notions of multi-fuzzy sets, multi-fuzzy topology, and mul...