Journal of Intelligent & Fuzzy Systems - Volume 9, issue 1-2

Authors: Aliev, Rafik A. | Fazlollahi, Bijan | Vahidov, Rustam M.

Article Type: Research Article

Abstract: The new concept of soft computing based distributed multi-agent marketing decision support system (DSS) is proposed in this paper. The DSS is composed of a number of parallel intelligent agents acting in a distributed mode, and one coordinating agent for evaluation of solutions. Generation of a final solution in DSS is achieved through cooperative and competitive interactions among intelligent agents. The main idea of the proposed DSS is based on decomposition of the overall system intelligence among cooperative autonomous intelligent agents capable of competing and cooperating with each other in order to propose total solution to the problem and to …integrate local solutions into the final solution. Each distributed intelligent agent is implemented as fuzzy knowledge based system with modest number of rules. The agent-coordinator (evaluator) evaluates the proposals and ranks the fuzzy values of the outcome produced by intelligent contending agents. The outcome of each agent is estimated on the basis of its solution, input information, and other necessary information using a neuro-fuzzy estimator tuned by a genetic algorithm. The proposed concept for designing DSS is illustrated through a marketing-mix DSS. Show more

Citation: Journal of Intelligent and Fuzzy Systems, vol. 9, no. 1-2, pp. 1-9, 2000

Authors: Aboelela, Emad | Douligeris, Christos

Article Type: Research Article

Abstract: Efficient routing algorithms are required to guarantee the various quality of service (QoS) characteristics requested by the wide range of applications supported by Broadband Integrated Services Digital Networks (B-ISDN). However, it is known that various formulations of such a routing problem, with two or more additive or multiplicative QoS metrics in any possible combination, is NP-complete. In this paper, we propose a heuristic approach based on fuzzy logic. For each metric, a fuzzy membership function is defined to reflect the QoS requirements from that metric. A fuzzy-inference rule base is implemented to generate the fuzzy cost of each path based …on the crisp values of the different metrics possibly used in the network links. The proposed approach is tested with a wide variety of loads and the effect on different measures of performance is analyzed. Simulation results demonstrate the capability of this approach to increase the throughput and utilization of the communication network, and provide a fair distribution of different connection requests. Show more

Citation: Journal of Intelligent and Fuzzy Systems, vol. 9, no. 1-2, pp. 11-27, 2000

Authors: Hambaba, Ahmed

Article Type: Research Article

Abstract: The design and implementation of effective control of manufacturing processes depends on the successful monitoring and recognition of process signals. In this paper, we describe an application of robust hybrid model to the prediction of plasma etcher outcome; etcher rate, selectivity, and uniformity. The robust hybrid model consists of two main architectures: robust model and recurrent neural network with real-time recurrent learning. The residual errors are used for the tuning of the weights of the recurrent neural network. The robust hybrid model's performance is compared to Ordinary Least-Square method, Alpha-trimmed mean, and Back-Propagation neural network.

Citation: Journal of Intelligent and Fuzzy Systems, vol. 9, no. 1-2, pp. 29-41, 2000

Authors: de Korvin, A. | Kleyle, R.

Article Type: Research Article

Abstract: A difficulty often encountered when using the Petri net approach to stochastic modeling is a proliferation in the number of states in the associated Markov chain. In this paper we present a solution to this proliferation problem by introducing the concept of a fuzzy stochastic Petri net. This paper then focuses on the problem of finding the stationary probability of reaching some selected output nodes, starting from selected input nodes when using a fuzzy set approach to modeling with stochastic Petri nets.

Citation: Journal of Intelligent and Fuzzy Systems, vol. 9, no. 1-2, pp. 43-51, 2000

Authors: Wang, Wen-June | Luoh, Leh

Article Type: Research Article

Abstract: In most inference engines, the output of a fuzzy rule base before defuzzifying is the union of some trapezoidal or/and triangular fuzzy sets and it is always of irregular shape. The defuzzification by using the "center of sum" (COS) method or the "center of gravity" (COG) method for the irregular fuzzy set is then a troublesome computation because of some integrations. This paper proposes two formulas to compute the center of gravity of triangular and trapezoidal fuzzy sets respectively. Based on the proposed two formulas, the computation of COS defuzzification for an irregular fuzzy set can be simplified to a …weighted average of the gravities of the trapezoidal or/and triangular fuzzy sets. An example is illustrated to show that the computation time of the pre-defuzzification method with the proposed formula is much less than that of the commonly used COS and COG defuzzification method. Show more

Citation: Journal of Intelligent and Fuzzy Systems, vol. 9, no. 1-2, pp. 53-59, 2000

Authors: Wang, Hsiao-Fan

Article Type: Research Article

Abstract: In this paper, we shall discuss how to make a satisfactory decision in imprecise and multicriteria situations. Following the conventional classification, we shall introduce multicriteria decision analysis with two categories of Fuzzy Multi-objective Decision Analysis in the first part and Fuzzy Multi-attribute Decision Analysis in the second part. Methodologies will be illustrated by application aspects.

Citation: Journal of Intelligent and Fuzzy Systems, vol. 9, no. 1-2, pp. 61-83, 2000

Authors: Zaki, Mohammed | El-Ramsisi, Abdallah | Omran, Rostom

Article Type: Research Article

Abstract: An efficient pattern recognition system based on soft computing concepts has been developed. A new reliable genetic stereo vision algorithm is used in order to estimate depth of objects without using any point-to-point correspondence. Instead, correspondence of the contours as a whole is required. Invariant breakpoints are located on a shape contour using the colinearity principle. Thus, a localized representation of a shape contour including 3-D moments as well as a chain code can be obtained. This representation is invariant to rotation, translation, scale, and starting point. The system is provided with a neural network classifier and a dynamic alignment …procedure at its output. Combing the robustness of neural network classifier with the genetic algorithm capability results in a reliable pattern recognition system which can tolerate high degrees of noise and occlusion levels. The performance of the system has been demonstrated using five different types of aircraft and the experimental results are reported. Show more

Citation: Journal of Intelligent and Fuzzy Systems, vol. 9, no. 1-2, pp. 85-99, 2000

Authors: Sarkodie-Gyan, Thompson | Hong, Dezhong | Campbell, Andrew W.

Article Type: Research Article

Abstract: In this paper, a computer vision system for diagnosing pistons during the process of manufacture is designed. In fact, it is almost always readily possible to fit the incorrect piston to an engine because a number of similar piston types exhibit very slight differences but with the same overall diameter. Within a family, the difference is very subtle and may be simply a change in the shape of the bowl in the crown of the piston. Hereby, a vision based measurement system is designed to confirm the identity of the piston just after it has been fitted to the engine …assembly. Structured laser lines are employed to obtain depth information on the piston crowns. A unique calibration technique involving an optical system is introduced in the scheme, in order to achieve precise 3D measurements. Since some pistons have shining surfaces, the reflection on the crowns influences the detection of the laser line, hence the dispersion of the laser lines increases the difficulty of locating the laser lines. The concept of fuzzy sets is employed to describe the features of the pistons to enable the measurement system to be more tolerant to the various pistons and to be able to obtain more accuracy in the recognition scheme. Show more

Citation: Journal of Intelligent and Fuzzy Systems, vol. 9, no. 1-2, pp. 101-111, 2000

Authors: Ahmed, M.S. | Riyaz, S.H.

Article Type: Research Article

Abstract: Design of static observers employing neural network has already appeared in the literature. In this paper neural networks are exploited to design nonlinear dynamic observers for estimating the states of a nonlinear system. A number of schemes using Multi-layered Feed-forward Neural Network (MFNN) are presented. In the first approach, the neural network is used to approximate the nonlinear Kalman gain of the observer. Two different training schemes are proposed in this structure. Full and reduced order observer schemes based on a more direct approach are then considered. These schemes utilize the neural nets to assume the nonlinear dynamic mapping from …the system input and output in order to obtain the estimated states. The network training for all the schemes is based on a gradient algorithm that uses the recently proposed Block Partial Derivatives (BPD). Simulation results are presented to validate the usefulness of the proposed schemes. Show more

Citation: Journal of Intelligent and Fuzzy Systems, vol. 9, no. 1-2, pp. 113-127, 2000