Dr. Asif Ali
Assistant Professor
Department of Mathematics
Faculty of Science and Technology
PhD (Mathematics)
Operations Research, Fuzzy Mathematics
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asif.ali@vu.edu.pk |
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Dr. Asif Ali is serving as an Assistant Professor at the Faculty of Science and Technology, Department of Mathematics, Virtual University of Pakistan. He is HEC Approved Supervisor. He obtained his PhD degree in Mathematics in 2022, from Department of Mathematics, School of Science, University of Management and Technology, Lahore, Pakistan; MPhil degree in Mathematics in 2014, from Department of Mathematics, Division of Science and Technology, University of Education, Lahore, Pakistan; Master of Public Administration with specialization in Finance in 2010, from Institute of Administrative Sciences, University of the Punjab, Lahore, Pakistan; BS (4 Years) degree in Mathematics in 2008, from Department of Mathematics, University of the Punjab, Lahore, Pakistan; and B.Ed. (Teaching of Mathematics and Physics) in 2012, from Allama Iqbal Open University Islamabad. His area of interest is Multiple Criteria Decision Analysis (MCDA), Integration of Fuzzy sets and Fuzzy logic in MCDM Techniques and their applications, Fuzzy inference systems, Handling Uncertain Information, Linear and Non Linear Optimization Modelling, Operations Research, Decision Analysis. He is reviewer of well-known international journals. He is also external examiner of MS / MPhil thesis of various universities. He has planning and organizing skills, and has ability to face challenges. He has a comprehensive knowledge of Computer including command over MS Office, LaTeX, and MATLAB. Research information can be found at
==> https://orcid.org/0000-0002-2941-9660
==> https://www.scopus.com/authid/detail.uri?authorId=57211194415
==> https://scholar.google.com/citations?user=vqBv2JgAAAAJ&hl=en&oi=sra
==> https://www.researchgate.net/profile/Asif_Ali14 |
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Workshop on Indigenous on Campus Training under Modern University Governance Program Sponsored by Higher Education Commission |
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A thesis submitted for the partial fulfillment of the requirement for the degree of Master of Philosophy in Mathematics to Division of Science and Technology, University of Education, Lahore, November 2013. |
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A project submitted to Institute of Administrative Sciences, University of the Punjab, Lahore, in partial fulfillment of requirement for degree of Master of Public Administration, September, 2010. |
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Training Workshop on Writing Effective Document using LaTeX |
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5th UMT International Conference on Pure and Applied Mathematics (5th UICPAM2019), Lahore, Pakistan. |
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6th UMT International Conference on Pure and Applied Mathematics (6th UICPAM-2020), Lahore, Pakistan. |
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The 33rd Annual Conference of the Asian Association of Open Universities (Open Distance Education) |
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Category: W Bronze (Impact Factor 5.5) |
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Amman, M., Rashid, T., & Ali, A. (2023). Fermatean fuzzy multi-criteria decision-making based on Spearman rank correlation coefficient. Granular Computing, 8(6), 2005-2019.
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Amman, M., Rashid, T., & Ali, A. (2023). Fermatean fuzzy multi-criteria decision-making based on Spearman rank correlation coefficient. Granular Computing, 8(6), 2005-2019.
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2023 |
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Category: W Platinum (Impact Factor 6.141) |
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Zafar, I., Rashid, K., Tariq, S., Ali, A., & Ju, M. (2022). Integrating technical-environmental-economical perspectives for optimizing rubber content in concrete by multi-criteria analysis. Construction and Building Materials, 319, 125820.
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Zafar, I., Rashid, K., Tariq, S., Ali, A., & Ju, M. (2022). Integrating technical-environmental-economical perspectives for optimizing rubber content in concrete by multi-criteria analysis. Construction and Building Materials, 319, 125820.
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2022 |
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Category: W (Impact Factor 2.740) |
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Rashid, T., Ali, A., & Chu, Y-M. (2021). Hybrid BW-EDAS MCDM methodology for optimal industrial robot selection. PloS ONE. 16(2), e0246738. DOI: https://doi.org/10.1371/journal.pone.0246738
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Rashid, T., Ali, A., & Chu, Y-M. (2021). Hybrid BW-EDAS MCDM methodology for optimal industrial robot selection. PloS ONE. 16(2), e0246738. DOI: https://doi.org/10.1371/journal.pone.0246738
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2021 |
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Category: W (Impact Factor 3.050) |
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Ali, A., & Rashid, T., (2021). Best–worst method for robot selection. Soft Computing. 25(1), 563-583. DOI: https://doi.org/10.1007/s00500-020-05169-z
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Ali, A., & Rashid, T., (2021). Best–worst method for robot selection. Soft Computing. 25(1), 563-583. DOI: https://doi.org/10.1007/s00500-020-05169-z
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2021 |
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Category: W |
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Comparative Analysis of Hybrid Fuzzy MCGDM Methodologies for Optimal Robot Selection Process. 13(5), 839. DOI: https://doi.org/10.3390/sym13050839
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Comparative Analysis of Hybrid Fuzzy MCGDM Methodologies for Optimal Robot Selection Process. 13(5), 839. DOI: https://doi.org/10.3390/sym13050839
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2021 |
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Category: W (Impact Factor 1.851) |
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Ali, A., & Rashid, T., (2020). Generalized interval-valued trapezoidal fuzzy best-worst multiple criteria decision-making method with applications. Journal of Intelligent & Fuzzy Systems. 38(2), 1705-1719. DOI: https://doi.org/10.3233/JIFS-182932
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Ali, A., & Rashid, T., (2020). Generalized interval-valued trapezoidal fuzzy best-worst multiple criteria decision-making method with applications. Journal of Intelligent & Fuzzy Systems. 38(2), 1705-1719. DOI: https://doi.org/10.3233/JIFS-182932
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2020 |
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Category: W Platinum (Impact Factor 10.312) |
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Ali, A., & Rashid, T., (2019). Hesitant fuzzy best-worst multi-criteria decision-making method and its applications. International Journal of Intelligent Systems. 34(8), 1953-1967. DOI: https://doi.org/10.1002/int.22131
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Ali, A., & Rashid, T., (2019). Hesitant fuzzy best-worst multi-criteria decision-making method and its applications. International Journal of Intelligent Systems. 34(8), 1953-1967. DOI: https://doi.org/10.1002/int.22131
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2019 |
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