A5100750766- Multi-Criteria Decision Making
- Optimization and Mathematical Programming
- Fuzzy Systems and Optimization
- Optimization and Variational Analysis
- Fuzzy Logic and Control Systems
- Urban Transport Systems Analysis
- Advanced Optimization Algorithms Research
- Matrix Theory and Algorithms
- Intuitionistic Fuzzy Systems Applications
- Data Management and Algorithms
- Vehicle Routing Optimization Methods
- Reliability and Maintenance Optimization
- Water resources management and optimization
- Risk and Safety Analysis
- Resource-Constrained Project Scheduling
- Religion and Sociopolitical Dynamics in Nigeria
- Sustainable Supply Chain Management
- Transportation Planning and Optimization
- Artificial Intelligence in Games
- Rough Sets and Fuzzy Logic
- Educational Reforms and Innovations
- Numerical Methods and Algorithms
- Robot Manipulation and Learning
- Fuzzy and Soft Set Theory
- Construction Project Management and Performance
GITAM University
2025
Thapar Institute of Engineering & Technology
2015-2024
Aligarh Muslim University
2023
Babasaheb Bhimrao Ambedkar Bihar University
2023
Institute of Engineering Science
2022
Indian Institute of Technology Ropar
2018
University of Tabuk
2018
National Institute of Technology Hamirpur
2015
Central Mechanical Engineering Research Institute
2015
Ranking of fuzzy numbers play an important role in decision making, optimization and forecasting etc. Fuzzy must be ranked before action is taken by a maker. In this paper, with the help several counter examples, it proved that ranking method proposed Chen (Expert Systems Applications 36(3): 6833) incorrect. The main aim paper to propose new approach for generalized trapezoidal numbers. based on rank mode so named as RM approach. advantage provides correct ordering normal also very simple...
To the best of our knowledge very few methods have been proposed in previous studies for comparing intuitionisticfuzzy (IF) numbers. In this paper, limitations and shortcomings all these existing are pointed out. Inorder to overcome a new ranking approach—by modifying an rankingapproach—is IF Thus, with help approach, newmethod is find optimal solution such unbalanced minimum cost flow (MCF) problems which allthe parameters represented by
Ganesan and Veeramani [Fuzzy linear programs with trapezoidal fuzzy numbers, Annals of Operations Research 143 (2006) 305-315.] proposed a new method for solving special type programming problems. In this paper method, named as Mehar's is the same problems it shown that easy to apply compared existing
Mukherjee and Basu proposed a new method for solving fuzzy assignment problems. In this paper, some problems travelling salesman are chosen which cannot be solved by using the fore-mentioned method. Two methods such type of The can existing method, also methods. But, there exist certain only To illustrate methods, problem is solved. easy to understand apply find optimal solution occurring in real life situations.
In this paper, a new method is proposed to find the fuzzy optimal solution of fully linear programming (FFLP) problems with mixed constraints. By using FFLP constraints occur
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Several authors have proposed different methods to find the solution of fully fuzzy linear systems (FFLSs) that is, system with coefficients involving variables. But all existing are based on assumption and variables nonnegative numbers. In this paper a new method is solve an FFLS arbitrary vector, there no restriction elements been used in FFLS. The primary objective thus introduce concept computational for solving non negative constraint parameters. incorporates principles programming not...
To the best of our knowledge till now there is no method in literature to find exact fuzzy optimal solution unbalanced fully transportation problems. In this paper, shortcomings and limitations some existing methods for solving problems are pointed out overcome these limitations, two new proposed by representing all parameters as LR flat numbers. show advantages over methods, a problem which may not be solved using any comparing results, obtained methods. It shown that it better use compared