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Articles by M.Z. Ahmad
Total Records ( 4 ) for M.Z. Ahmad
  R. Md Saad , M.Z. Ahmad , M.S. Jusoh and M.S. Abu
  Selecting the right person to a particular job needs a lot of considerations, especially in a growth company. To solve this problem, many organisations have created an ideal candidate that fulfils all requirements for a particular job. In this case, decision makers will make a comparison between a set of candidates with the ideal candidate. The distance measures are then used to compare whether the candidates are on the par with the ideal candidate. Hamming and Hausdorff distances are the two distance measures that popularly used to compare the set of candidates with the ideal candidate. In this study, reseachers employ fuzzy set theory along with the Hamming and Hausdorff distances to solve staff selection problem. Based on numerical computations that have been carried out, final results showed that both methods produced almost the same results even at different exigency levels. The results also showed that both distance measures have its own advantageous and can be applied according to suitable condition.
  C.M. Sinnathambi , N.M. Nor and M.Z. Ahmad
  Hot surfaces of heat exchangers in oil refineries are easily exposed to fouling and it has been a major problem to overcome, particularly in crude preheat train. The crude oils together with their blends have been known to cause significant fouling due to its composition, incompatibility and effect of operating conditions. This study focuses on the composition of fouling deposits with regards to crude oil properties. The study on the asphaltene as fouling contributor was conducted where asphaltene precipitation factors analyzed using Design of Experiment analysis, Taguchi Approach. Besides that, crude oil incompatibility analysis due to asphaltene drop-out using an Automated Flocculation Titrimeter was also conducted. The analyses were conducted for two Malaysian crude oils. Data on crude oil characteristics, asphaltene precipitation and flocculation are presented and the fouling behaviors in Malaysian crude oils are discussed.
  M.Z. Ahmad , M.K. Hasan and B. De Baets
  This study proposes a new method for computing f(U) where f is a real continuous function and U is a fuzzy interval. The computation of f(U) is performed by incorporating optimisation technique into Zadeh’s extension principle. By discretising α up to n finite numbers, a set of n closed and bounded intervals is obtained. Here, the computation of f on closed and bounded intervals is the same idea of solving unconstrained optimisation problems. For every finite numbers of α, if the function to be optimised is unimodal, the authors apply Brent’s method. One of the main advantages of using this method is that it does not require the calculation of derivative. In case where f is reduced to monotone or to a straight line, the optimal solutions are obtained at the endpoints of intervals. This new strategy gives better results and requires only few function evaluations. An example is provided to illustrate the effectiveness of the proposed method.
  W.S. Wan Daud , M.Z. Ahmad , E. Sakib and M.K. Hasan
  This study proposes a hybrid method called Particle Swarm Optimization-Fuzzy Euler Method (PSOFEM) for solving fuzzy differential equations. The PSOFEM is obtained by embedding a particle swarm optimization technique in a fuzzy Euler scheme. Results of applying the PSOFEM to several fuzzy differential equations are presented. Final results showed that the PSOFEM is capable of generating fuzzy solutions for a large class of problems.
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