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Abstrak :
The development of pavement condition assessment for Indonesia based on fuzzy set theory is presented in this paper. A method to determine membership functions used in pavement condition assessment is proposed. The effects of inclusion or omission, and weight changes of pavement parameters on pavement condition assessment using fuzzy weighted average operation are analyzed. The results of proposed method are compared with the results of Bina Marga model. The result indicates that the proposed method gives more reliable results. Inclusion or omission, and weight changes of pavement parameters can cause the differences in pavement condition assessment. The recommendations with respect to pavement condition assessment using fuzzy weighted average operation in Indonesia are given.

Abstrak :
ABSTRACT
This paper presents application of various Soft-computing control strategies for offline control of one wheel mobile robot (OWMR). The techniques considered for controlling were Fuzzy logic reasoning, Adaptive neuro-fuzzy inference system (ANFIS), and Neural networks (NNs). The study compares the performance of proposed techniques in terms of settling time, maximum overshoot, and steady state error. A Matlab-Simulink model of OWMR system has also been developed. The results obtained from simulation of fuzzy controller were used to train ANFIS and NNs controller. The simulation results showed better performance and learning ability of ANFIS controller compared to other two controllers. The results are shown with the help of graphs and tables to validate the proposed study.