Yousaf Shad Muhammad

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In this paper we propose a quadratic cost function for allocating sample size in multivariate stratified random sampling in the presence of the non-response. We use the separate linear regression estimator. In this multiobjective non-linear integer programming problem, we use extended lexicographic goal programming for solution purpose. To illustrate the(More)
The aim of this study is to propose a fuzzy multi-criterion decision model (MCDM) to evaluate the performance of ATMs of larger Pakistani banks. For this purpose six banks of Pakistani banking sector are examined and evaluated their quality performance in terms of cost-benefit criterions or factors of ATM facility. Fuzzy Technique for order performance by(More)
Biodegradation and biomass production are affected by numerous environmental factors including pH, oxygen availability and presence of pollutants. The present study, for the first time, elucidated the effects of nutrients and light on mycodegradation of petroleum hydrocarbons in diesel oil. Seven fungal strains (Aspergillus terreus FA3, Aspergillus niger(More)
In this article, we propose compromise allocations for multivariate stratified random sampling using the auxiliary attributes under non-response. We modified extended lexicographic goal programming technique and compared it with fuzzy goal programming and value function technique. We addressed the problem of compromise allocation when the auxiliary(More)
Bacterial photophysiology was previously limited to photoautotrophs. The discovery of bacteriophytochromes in non-photoautotrophs raised a question whether these non-photoautotrophs are affected by the presence or absence of light? In this research work for the first time, bacterial hydrocarbon degradation and biomass production was studied under the(More)
We consider the problem of multivariate multi-objective allocation where no or limited information is available within the stratum variance. Results show that a game theoretic approach (based on weighted goal programming) can be applied to sample size allocation problems. We use simulation technique to determine payoff matrix and to solve a minimax game.
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