14 found
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  1. Multi-attribute Decision Making based on Rough Neutrosophic Variational Coefficient Similarty Measure.Kalyan Modal, Surapati Pramanik & Florentin Smarandache - 2016 - Neutrosophic Sets and Systems 13:3-17.
    The purpose of this study is to propose new similarity measures namely rough variational coefficient similarity measure under the rough neutrosophic environment. The weighted rough variational coefficient similarity measure has been also defined. The weighted rough variational coefficient similarity measures between the rough ideal alternative and each alternative are xxxxx calculated to find the best alternative. The ranking order of all the alternatives can be determined by using the numerical values of similarity measures. Finally, an illustrative example has been provided (...)
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  2. Rough Neutrosophic TOPSIS for Multi-Attribute Group Decision Making.Kalyan Modal, Surapati Pramanik & Florentin Smarandache - 2016 - Neutrosophic Sets and Systems 13:105-117.
    This paper is devoted to present Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method for multi-attribute group decision making under rough neutrosophic environment. The concept of rough neutrosophic set is a powerful mathematical tool to deal with uncertainty, indeterminacy and inconsistency. In this paper, a new approach for multi-attribute group decision making problems is proposed by extending the TOPSIS method under rough neutrosophic environment. Rough neutrosophic set is characterized by the upper and lower approximation operators and the (...)
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  3. Multi criteria decision making using correlation coefficient under rough neutrosophic environment.Surapati Pramanik, Rumi Roy, Tapan Kumar Roy & Florentin Smarandache - 2017 - Neutrosophic Sets and Systems 17:29-38.
    In this paper, we define correlation coefficient measure between any two rough neutrosophic sets. We also prove some of its basic properties.. We develop a new multiple attribute group decision making method based on the proposed correlation coefficient measure. An illustrative example of medical diagnosis is solved to demonstrate the applicability and effecriveness of the proposed method.
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  4.  94
    Multi-Attribute Decision Making Based on Several Trigonometric Hamming Similarity Measures under Interval Rough Neutrosophic Environment.Surapati Pramanik, Rumi Roy, Tapan Kumar Roy & Florentin Smarandache - 2018 - Neutrosophic Sets and Systems 19:110-118.
    In this paper, the sine, cosine and cotangent similarity measures of interval rough neutrosophic sets is proposed. Some properties of the proposed measures are discussed. We have proposed multi attribute decision making approaches based on proposed similarity measures. To demonstrate the applicability, a numerical example is solved.
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  5. Neutrosophic Cubic MCGDM Method Based on Similiarity Measure.Surapati Pramanik, Shyamal Dalapati, Shariful Alam, Tapan Kumar Roy & F. Smarandache - 2017 - Neutrosophic Sets and Systems 16:44-56.
    The notion of neutrosophic cubic set is originated from the hybridization of the concept of neutrosophic set and interval valued neutrosophic set. We define similarity measure for neutrosophic cubic sets and prove some of its basic properties. We present a new multi criteria group decision making method with linguistic variables in neutrosophic cubic set environment. Finally, we present a numerical example to demonstrate the usefulness and applicability of the proposed method.
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  6. An extended TOPSIS for multi-attribute decision making problems with neutrosophic cubic information.Surapati Pramanik, Partha Pratim Dey, Bibhas C. Giri & Florentin Smarandache - 2017 - Neutrosophic Sets and Systems 17:20-28.
    The paper proposes a new technique for dealing with multi-attribute decision making problems through an extended TOPSIS method under neutrosophic cubic environment. Neutrosophic cubic set is the generalized form of cubic set and is the hybridization of a neutrosophic set with an interval neutrosophic set. In this study, we have defined some operation rules for neutrosophic cubic sets and proposed the Euclidean distance between neutrosophic cubic sets. In the decision making situation, the rating of alternatives with respect to some predefined (...)
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  7. IN-cross Entropy Based MAGDM Strategy under Interval Neutrosophic Set Environment.Shyamal Dalapati, Surapati Pramanik, Shariful Alam, Florentin Smarandache & Tapan Kumar Roy - 2017 - Neutrosophic Sets and Systems 18:43-57.
    Cross entropy measure is one of the best way to calculate the divergence of any variable from the priori one variable. We define a new cross entropy measure under interval neutrosophic set environment.
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  8.  98
    GRA for Multi Attribute Decision Making in Neutrosophic Cubic Set Environment.Durga Banerjee, Bibhas C. Giri, Surapati Pramanik & Florentin Smarandache - 2017 - Neutrosophic Sets and Systems 15:60-69.
    In this paper, multi attribute decision making problem based on grey relational analysis in neutrosophic cubic set environment is investigated. In the decision making situation, the attribute weights are considered as single valued neutrosophic sets. The neutrosophic weights are converted into crisp weights. Both positve and negative GRA coefficients, and weighted GRA coefficients are determined. Hamming distances for weighted GRA coefficients and standard (ideal) GRA coefficients are determined. The relative closeness coefficients are derived in order to rank the alternatives. The (...)
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  9. Multi Attribute Decision Making Strategy on Projection and Bidirectional Projection Measures of Interval Rough Neutrosophic Sets.Surapati Pramanik, Rumi Roy, Tapan Kumar Roy & Florentin Smarandache - 2018 - Neutrosophic Sets and Systems 19:101-109.
    In this paper, we define projection and bidirectional projection measures between interval rough neutrosophic sets and prove their basic properties. Then two new multi attribute decision making strategies are proposed based on interval rough neutrosophic projection and bidirectional projection measures respectively. Then the proposed methods are applied for solving multi attribute decision making problems. Finally, a numerical example is solved to show the feasibility, applicability and effectiveness of the proposed strategies.
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  10. Bipolar Neutrosophic Projection Based Models for Solving Multi-Attribute Decision-Making Problems.Surapati Pramanik, Partha Pratim Dey, Bibhas C. Giri & Florentin Smarandache - 2017 - Neutrosophic Sets and Systems 15:70-79.
    Bipolar neutrosophic sets are the extension of neutrosophic sets and are based on the idea of positive and negative preferences of information. Projection measure is a useful apparatus for modelling real life decision making problems. In the paper, we define projection, bidirectional projection and hybrid projection measures between bipolar neutrosophic sets. Three new methods based on the proposed projection measures are developed for solving multi-attribute decision making problems. In the solution process, the ratings of performance values of the alternatives with (...)
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  11.  89
    Correlation Coefficient Measures of Interval Bipolar Neutrosophic Sets for Solving Multi-Attribute Decision Making Problems.Surapati Pramanik, Dey Partha Pratim & Florentin Smarandache - 2018 - Neutrosophic Sets and Systems 19:70-79.
    Interval bipolar neutrosophic set is a significant extension of interval neutrosophic set where every element of the set comprises of three independent positive membership functions and three independent negative membership functions. In this study, we first define correlation coefficient, and weighted correlation coefficient measures of interval bipolar neutrosophic sets and prove their basic properties. Then, we develop a new multi-attribute decision making strategy based on the proposed weighted correlation coefficient measure. Finally, we solve an investment problem with interval bipolar neutrosophic (...)
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  12. Trnn-Aras strategy for multi-attribute group decision-making (Magdm) in trapezoidal neutrosophic number environment with unknown weight.Rama Mallick & Surapati Pramanik - 2020 - In Harish Garg (ed.), Decision-making with neutrosophic set: theory and applications in knowledge management. New York: Nova Science Publishers.
     
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  13. Decision making for logistics center location selection in trapezoidal neutrosophic environment.Kalyan Mondal & Surapati Pramanik - 2020 - In Florentin Smarandache & Said Broumi (eds.), Neutrosophic Theories in Communication, Management and Information Technology. New York: Nova Science Publishers.
     
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  14. Rough neutrosophic set : an overview.Surapati Pramanik - 2020 - In Florentin Smarandache & Said Broumi (eds.), Neutrosophic Theories in Communication, Management and Information Technology. New York: Nova Science Publishers.
     
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