Ranking of Neutrosophic number based on values and ambiguities and its application to linear programming problem

Authors

  • Manas Karak 1Department of Mathematics, Umeschandra College, 13 Surya Sen Street, Kolkata - 700012, West Bengal, India
  • Pramodh Bharati Department of Mathematics, Swami Vivekananda University Of Telinipara, Barasat- Barrackpore Rd, Bara-Kanthalia 700121, West Bengal, India
  • Animesh Mahata Department of Mathematics, Sri Ramkrishna Sarada Vidya Mahapitha, Kamarpukur - 712612, West Bengal, India
  • Subrata Paul 4Department of Mathematics, Arambagh Govt. Polytechnic, Arambagh - 712602, West Bengal, India
  • Santosh Biswas Department of Mathematics, Jadavpur University, 188 Raja S.C. Mallik Road Kolkata - 700032, West Bengal, India
  • Supriya Mukherjee Department of Mathematics, Gurudas College, 1/1 Suren Sarkar Road, Kolkata - 700054, West Bengal, India
  • Said Broumi Labratory of Information Processing, Faculty of Science Ben M’Sik, University of HassanII, Casablanca, Morocco
  • Mahendra Rong Department of Mathematics, Bangabasi Evening College, Kolkata - 700009, West Bengal, India
  • Banamali Roy Department of Mathematics, Bangabasi Evening College, Kolkata - 700009, West Bengal, India

Keywords:

Neutrosophic number, Value and ambiguity, Ranking function, Neu-LPP, C-LPP, Computational Lingo method

Abstract

The goal of this article is to establish a methodology for ordering of single-valued neutrosophic numbers (SVN-numbers) on the basis of values and ambiguities. First of all, the idea of neutrosophic numbers is discussed, and (α, β, γ)-cut and arithmetic oprations definecd over SVN-numbers are examined. Thereafter,corresponding to each components,the values and ambiguities are defined and using these definitions, the ratio ranking function is constructed. Then, for the stability of the ratio ranking function, some examples are provided for comparing this method with other approaches. Applying this ratio ranking function, neutrosophic linear programming problem(Neu-LPP) converts to the crisp linear programmning problems (CLP-Problems) and solved it by computational lingo method. At last, Neu-LPP is illustrated by two numerical real-life examples

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Published

2024-01-15

Issue

Section

SI#1,2024: Neutrosophical Advancements And Their Impact on Research

How to Cite

Manas Karak, Pramodh Bharati, Animesh Mahata, Subrata Paul, Santosh Biswas, Supriya Mukherjee, Said Broumi, Mahendra Rong, & Banamali Roy. (2024). Ranking of Neutrosophic number based on values and ambiguities and its application to linear programming problem. Neutrosophic Sets and Systems, 63, 203-218. https://fs.unm.edu/nss8/index.php/111/article/view/3886

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