Imprecise covering ring star problem

  • Anupam Mukherjee School of Applied Science and Humanities, Haldia Institute of Technology, Haldia, India
  • Partha Sarathi Barma Center for Distance and Online Education, University of Burdwan, Burdwan, India
  • Joydeep Dutta Department of Computer Science Kazi Nazrul University, Asansol, India
  • Sujit Das National Institute of Technology Warangal, India
  • Dragan Pamucar Department of Logistics, University of Defence in Belgrade, Belgrade, Serbia
Keywords: Ring Star Problem · Median Cycle Problem · Covering Salesman Problem · Genetic Algorithm


In this paper, we formulate and solve an Imprecise Covering Ring Star Problem (ICRSP), which is a generalization of the Ring Star Problem (RSP). Here the objective of this problem is to find a subset of nodes in a network to minimize the sum of routing costs of interconnecting cycle and assignment costs of the nodes which are out of cycle, to their nearest concentrators such that no assigned node exceeds a predetermined distance (say, covering distance) from the concentrators. The covering distance, as well as the routing and assignments costs, are considered as fuzzy in the proposed ICRSP. A Modified Genetic Algorithm (MGA) is developed and used to solve this model for different confidence levels depending on the corresponding imprecise parameters, reducing it to deterministic form with fuzzy possibility and necessity approaches. Some comparisons with existing benchmark problems are made to justify the performance of the algorithm. As individual cases, some practical ICRSPs are also solved and presented numerically.


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How to Cite
Mukherjee, A., Barma, P. S., Dutta, J., Das, S., & Pamucar, D. (2022). Imprecise covering ring star problem. Decision Making: Applications in Management and Engineering.
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