Muhammad Zaini Ahmad
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Preferred name
Muhammad Zaini Ahmad
Official Name
Muhammad Zaini, Ahmad
Alternative Name
Ahmad, Muhammad Zaini
Zaini Ahmad, M.
Ahmad, M. Z.
Main Affiliation
Scopus Author ID
36622099600
Researcher ID
IWH-4700-2023

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  • Publication
    Fuzzy method based on the removal effects of criteria (MEREC) for determining objective weights in multi-criteria decision-making problems
    (MDPI, 2023)
    Mohamad Shahiir Saidin
    ;
    Lai Soon Lee
    ;
    Siti Mahani Marjugi
    ;
    Muhammad Zaini Ahmad
    ;
    Hsin-Vonn Seow
    In multi-criteria decision-making (MCDM) research, the criteria weights are crucial components that significantly impact the results. Many researchers have proposed numerous methods to establish the weights of the criterion. This paper provides a modified technique, the fuzzy method based on the removal effects of criteria (MEREC) by modifying the normalization technique and enhancing the logarithm function used to assess the entire performance of alternatives in the weighting process. Since MCDM problems intrinsically are ambiguous or complex, fuzzy theory is used to interpret the linguistic phrases into triangular fuzzy numbers. The comparative analyses were conducted through the case study of staff performance appraisal at a Malaysian academic institution and the simulation-based study is used to validate the effectiveness and stability of the presented method. The results of the fuzzy MEREC are compared with those from a few different objective weighting techniques based on the correlation coefficients, outlier tests and central processing unit (CPU) time. The results of the comparative analyses demonstrate that fuzzy MEREC weights are verified as the correlation coefficient values are consistent throughout the study. Furthermore, the simulation-based study demonstrates that even in the presence of outliers in the collection of alternatives, fuzzy MEREC is able to offer consistent weights for the criterion. The fuzzy MEREC also requires less CPU time compared to the existing MEREC techniques. Hence, the modified method is a suitable alternative and efficient for computing the objective criteria weights in the MCDM problems.
      17  1
  • Publication
    Improved hamming distance method for measuring staff performance evaluation
    ( 2018-12)
    Mohamad Shahiir Saidin
    ;
    Muhammad Zaini Ahmad
    ;
    Rasyida Md Saad
    Performance evaluation is the annual assessment about the overall works and responsibilities for every staff in an organization or institution. It needs to be measured correctly and fairly in order to pay what the staffs havedone in a particular year. In this process, the staffs in the particular organization areevaluated with respect to specific criteria by the assigned decision makers based on their performance in a particular year. Based on the existing literature, the decision makers always overlook the sub-criteria weights in the evaluation process and only focus for main criteria. Hence, this study presents an approach of integrating the subjective and objective weights incorporated with Hamming distance method dealing with main and sub-criteria. A case study at an institute of local university in Malaysia is provided to demonstrate the advantages of the proposed method. Based on the results, the proposed method can determine the most important criteria and the best staff in that institute.
      3  20