MULTI-CRITERIA GROUP DECISION MAKING MODEL USING SINGLE-VALUED NEUTROSOPHIC SET

被引:14
|
作者
Das, Suman [1 ]
Das, Rakhal [1 ]
Tripathy, Binod Chandra [1 ]
机构
[1] Tripura Univ, Dept Math, Agartala 799022, Tripura, India
关键词
Neutrosophic set; Indeterminacy; Fuzzy set; Decision making; TOPSIS;
D O I
10.17270/J.LOG.2020.446
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Background: In this article, we introduce some approaches for decision making in the neutrosophic set. The purpose of this study is to develop a neutrosophic multi-criteria group decision-making (MCGDM) model based on hybrid score-accuracy functions for approving a tender for construction under a simplified neutrosophic environment. Five criteria have been selected from experts' opinions to be considered for the distribution of tender. In this paper, we use the score functions, the accuracy functions, and the hybrid score-accuracy functions of single-valued neutrosophic numbers (SVNNs) and ranking method for SVNNs, those will help for making a decision. Methods: Decision making under uncertain situation is an important aspect of those days. For this, we have developed the multi-criteria decision-making model using a single-valued neutrosophic set. The main aim is to select an appropriate tender for assigning the work to be done, so that the output will be the best one, under the available resources. Results: We have developed an algorithm for taking proper decisions for the selection of a contractor for the construction of a public/government work. Conclusions: We have verified our algorithm with the help of an example. We have considered five criteria. However, this algorithm can be applied for multi-criteria decision making Also, it can be applied to other case studies too.
引用
收藏
页码:421 / 429
页数:9
相关论文
共 50 条
  • [1] Consensus Building in Multi-criteria Group Decision-Making with Single-Valued Neutrosophic Sets
    You, Xinli
    Hou, Fujun
    Lou, Zhenkai
    [J]. COGNITIVE COMPUTATION, 2021, 13 (06) : 1496 - 1514
  • [2] Consensus Building in Multi-criteria Group Decision-Making with Single-Valued Neutrosophic Sets
    Xinli You
    Fujun Hou
    Zhenkai Lou
    [J]. Cognitive Computation, 2021, 13 : 1496 - 1514
  • [3] Some new operations on single-valued neutrosophic matrices and their applications in multi-criteria group decision making
    Faruk Karaaslan
    Khizar Hayat
    [J]. Applied Intelligence, 2018, 48 : 4594 - 4614
  • [4] Some new operations on single-valued neutrosophic matrices and their applications in multi-criteria group decision making
    Karaaslan, Faruk
    Hayat, Khizar
    [J]. APPLIED INTELLIGENCE, 2018, 48 (12) : 4594 - 4614
  • [5] Single-valued neutrosophic fairly aggregation operators with multi-criteria decision-making
    Riaz, Muhammad
    Farid, Hafiz Muhammad Athar
    Ashraf, Shahzaib
    Kamaci, Hueseyin
    [J]. COMPUTATIONAL & APPLIED MATHEMATICS, 2023, 42 (03):
  • [6] On Multi-Criteria Decision Making problem via Bipolar Single-Valued Neutrosophic Settings
    Mohana, K.
    Christy, V
    Smarandache, Florentin
    [J]. NEUTROSOPHIC SETS AND SYSTEMS, 2019, 25 : 125 - 135
  • [7] A Robust Single-Valued Neutrosophic Soft Aggregation Operators in Multi-Criteria Decision Making
    Jana, Chiranjibe
    Pal, Madhumangal
    [J]. SYMMETRY-BASEL, 2019, 11 (01):
  • [8] Single-valued neutrosophic fairly aggregation operators with multi-criteria decision-making
    Muhammad Riaz
    Hafiz Muhammad Athar Farid
    Shahzaib Ashraf
    Hüseyin Kamacı
    [J]. Computational and Applied Mathematics, 2023, 42
  • [9] Single-valued neutrosophic ELECTRE II for multi-criteria group decision-making with unknown weight information
    Tian, Zhang-peng
    Nie, Ru-xin
    Wang, Xiao-Kang
    Wang, Jian-qiang
    [J]. COMPUTATIONAL & APPLIED MATHEMATICS, 2020, 39 (03):
  • [10] Linguistic Single-Valued Neutrosophic Multi-Criteria Group Decision Making Based on Personalized Individual Semantics and Consensus
    Tian, Zhang-Peng
    Xu, Fu-Xin
    Nie, Ru-Xin
    Wang, Xiao-Kang
    Wang, Jian-Qiang
    [J]. INFORMATICA, 2023, 34 (02) : 387 - 413