@syamsundarcollege.ac.in
Assistant Professor
Department of Mathematics, Syamsundar College, Syamsundar, Bardhaman, West Bengal, India
Mathematics, Applied Mathematics, Control and Optimization, Decision Sciences
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
George Biswas, Totan Garai, and Uttaran Santra
Elsevier BV
Debapriya Mondal, Totan Garai, Gopal Chandra Roy, and Shariful Alam
Elsevier BV
Totan Garai, Harish Garg, and George Biswas
Springer Science and Business Media LLC
Totan Garai, Harish Garg, and George Biswas
Springer Science and Business Media LLC
Totan Garai and Harish Garg
Elsevier BV
Sourav Kumar Giri, Totan Garai, and Sahidul Islam
IOS Press
It is challenging for a decision-maker to decide a proper decision in severe situations of multi-aspirated real-life problems.So there is always an ambiguity in the mind of decision maker. Keeping such vagueness in mind, this paper aims to incorporate some situation parameters imprecise in nature. The imprecise parameters are taken in single-valued bipolar neutrosophic environments. Different arithmetic operations on the single-valued bipolar neutrosophic number using the (α, β) cut method are proposed in this paper. Using this we have calculated the possibility mean of single valued bipolar neutrosophic numbers. A multi-item economic production quantity model with one time only discount is considered here with some parameters in single valued bipolar neutrosophic number as a case study of our proposed work. A possibilistic mean de-fuzzification technique is used here using possibility measures. Finally, numerical illustration and sensitivity analysis is done for different variables to emphasize the excellence of our proposed work.
Debapriya Mondal, Totan Garai, Gopal Chandra Roy, and Shariful Alam
Springer Science and Business Media LLC
Arpita Paul, Totan Garai, and Bibhas Giri
Inderscience Publishers
Totan Garai and Arpita Paul
Informa UK Limited
Totan Garai and Harish Garg
Elsevier BV
Totan Garai and Harish Garg
Hindawi Limited
Single‐valued bipolar neutrosophic (SVbN) numbers are a distinctive set of the neutrosophic set on the real line. In decision making problem, SVbN‐number has a great importance when human decision is based on both positive and negative thought. All membership functions (truth, indeterminacy, and falsity) of SVbN number are contained the positive and negative parts within the range of −1 to 0 and 0 to 1. In this article, we have defined the possibilistic ranking method of single valued bipolar neutrosophic numbers. The notions of possibilistic mean and SD of SVbN number are introduced here. A new approach possibilistic multiattribute decision making is developed according to the possibilistic mean and SD. In addition, we have invented possibilistic multiattribute decision making on water resource management problem under bipolar neutrosophic environment. Finally, a numerical example is considered with single‐valued trapezoidal bipolar neutrosophic informations to show the pertinence and implementation of the proposed possibilistic decision making method.
Dipankar Chakraborty, Arpita Paul, and Totan Garai
Inderscience Publishers
Totan Garai, George Biswas, and Uttaran Santra
Springer International Publishing
Totan Garai
Springer International Publishing
Sourav Kumar Giri, Totan Garai, Harish Garg, and Sahidul Islam
Springer Science and Business Media LLC
Totan Garai, Shyamal Dalapati, Harish Garg, and Tapan Kumar Roy
Springer Science and Business Media LLC
Totan Garai, Harish Garg, and Tapan Kumar Roy
Springer Science and Business Media LLC
Totan Garai, Dipankar Chakraborty, and Tapan Kumar Roy
Springer Science and Business Media LLC
Totan Garai and Harish Garg
Institution of Engineering and Technology (IET)
This study presented a multi-objective linear fractional inventory (LFI) problem with generalised intuitionistic fuzzy numbers. In modelling, the authors have assumed the ambiances where generalised trapezoidal intuitionistic fuzzy numbers (GTIFNs) used to handle the uncertain information in the data. Then, the given multi-objective generalised intuitionistic fuzzy LFI model was transformed into its equivalent deterministic linear fractional programming problem by employing the possibility and necessity measures. Finally, the applicability of the model is demonstrated with a numerical example and the sensitivity analysis under several parameters is investigated to explore the study.
Totan Garai, Dipankar Chakraborty, and Tapan Kumar Roy
Springer Science and Business Media LLC
Totan Garai, Dipankar Chakraborty, and Tapan Kumar Roy
Springer Science and Business Media LLC
Totan Garai, Dipankar Chakraborty, and Tapan Kumar Roy
IOS Press