Affiliations: [a]
Department of Computer Science and Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Hyderabad-90, T.S, India
| [b]
Department of Mathematics, Dr. APJ Abdul Kalam University, Indore (M.P), India
| [c]
Department of Information Technology, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad-90, T.S, India
| [d]
dLBEF Campus (Asia Pacific University of Technology & Innovation, Malaysia), Kathmandu, Nepal
Correspondence:
[*]
Corresponding author. G. Madhu, Department of Information Technology, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad-90, T.S, India. E-mail: madhu_g@vnrvjiet.in.
Abstract: Making the correct decision in a real-time situation is extremely difficult. In today’s technological age, computational methods are available, and they may assist the company’s top leaders in making sound decisions and strengthening the organization. There are several techniques for dealing with decision-making problems, one of which is the use of Hendecagonal fuzzy numbers. These fuzzy numbers are used to represent the ambiguity or ambiguity of eleven linguistic variables. To address these shortcomings, we use the ranking method, relativity function, and comparison matrix to aid in decision-making because we have eleven constraints (linguistic variables) that can be expressed in a hendecagonal fuzzy number matrix (HdcgFNM). The raking technique, relativity function, and comparison matrix were evaluated using a case study.
