Department of Mathematics

Research Group 2: Soft Sets, Fuzzy Mathematics and Decision Making Techniques

Research Group Title Soft Sets, Fuzzy Mathematics and Decision Making Techniques
Area of Research

Fuzzy Sets, Rough Sets, Soft Set, Hypersoft Set, Neutrosophic Sets,Multicriteria Decision Making, Optimizations, Artificial Intelligence,
Pattern recognition and optimization under convex environments, Graph
theory in fuzzy-like, soft-like and hypersoft-like environments,
similarity, distance measures and their relevant operators in multipolar
hybrid structures

Theme of Research / Goals Disease diagonosis, pattern recognition, bussiness optimization, Decisoin Theory, Control Systems, Artificial Intelligence, Computer Aided Design
Faculty Members

Dr. Muhammad Saeed
Dr. Tabassam Rashid
Dr. Basit Ali
Dr. Ghulam Murtaza, Dr. Ubaid ur Rehman

Collaborating UMT Departments Mathematics, Computer Science (Prof. Dr. Shoukat Iqbal)
Collaborating National Institutes
  • Dr. Muhammad Riaz (University of the Punjab).
  • Prof. Dr. Muhammad Rafique (UCP),
  • Dr. Muhammad Farhan (UOL),
  • Muhammad Saqlain (LGU),
  • Prof. Dr. Tariq Shah (QAU),
  • Dr. Kifayat Ullah
Collaborating International Institutes
  • Florentin Smarandache,
  • Said Broumi,
  • Miin-Shen Yang,
  • Jihad H. Asad,
  • Bhimraj Basumatary,
  • Thabet Abdul-Jawad,
  • Vimala Jayakumar,
  • Xiao Long Xin,
  • Alok Dhittal,
  • Hamiden Abd El-Wahed Khalifa,
  • Sultan Alodhaibi,
  • Harish Garg,
  • Mazen Muhammad,
  • Salvatore Sessa
Names of Active Senior Students Atiqe-Ur-Rehman, Muhammad Ihsan, Shazia Rana, Muhammad Arshad, Muhammad Imran Harl, Muhammad Haris Saeed, Mubashir Ali, Mehr-Un-Nisa, Neha Andleeb, Imrana Shafique
Short Description of the Research Theme The research focuses on the integration of uncertainity in human decision making using Fuzzy Mathematics. The course involves the mathematical modelling of human intuition which is further processed using fuzzy hybrid structures designed based on differnet scenarios with applications in business, basic sciences, medical sciences, and engineering.
SDGs Covered
  1. Fppsv-NHSS:
     Fuzzy parameterized possibility single valued neutrosophic hypersoft set to site selection for solid waste management
  2. A robust MADM-approach to recruitment-based pattern recognition by using similarity measures of interval-valued fuzzy hypersoft set
  3. An  intelligent multiple-criteria decision-making approach based on sv-neutrosophic hypersoft set with possibility degree setting for investment selection
  4. Generalized plithogenic whole hypersoft set, PFHSS-Matrix, operators and applications as COVID-19 data structures
  5. Theoretical
     framework for a decision support system for micro-enterprise supermarket investment risk assessment using novel picture fuzzy hypersoft graph

© Copyright UMT, 2015. All Rights reserved.

Website Credits: OCM-UMT Back to Top