• Corpus ID: 54829971

A Distance Model of Intuitionistic Fuzzy Cross Entropy to Solve Preference Problem on Alternatives

@inproceedings{Li2016ADM,
  title={A Distance Model of Intuitionistic Fuzzy Cross Entropy to Solve Preference Problem on Alternatives},
  author={Mei Li and ChongWu},
  year={2016}
}
In the field of decision-making, for the multiple attribute decision-making problem with the partially unknown attribute weights, the evaluation information in the form of the intuitionistic fuzzy numbers, and the preference on alternatives, this paper proposes a comprehensive decision model based on the intuitionistic fuzzy cross entropy distance and the grey correlation analysis. The creative model can make up the deficiency that the traditional intuitionistic fuzzy distance measure is easy… 

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References

SHOWING 1-10 OF 33 REFERENCES
Interval-valued intuitionistic fuzzy continuous cross-entropy and its application in multi-attribute decision-making
TLDR
The concept of the interval-valued intuitionistic fuzzy continuous cross-entropy under the intervalvalued intuitionism fuzzy environment, which is based on the COWA operator, is presented, aiming that the information about attribute weights is completely unknown.
An Intuitionistic Fuzzy Multi-attribute Decision-making Method with Preference on Alternatives
TLDR
An intuitionistic fuzzy multi-attribute decision-making method with preference on alternatives is obtained and a practical example is given to illustrate that the developed method is effective and reasonable.
A Triangular Fuzzy Number Multi-attribute Decision-making Method with Preference Information on Alternatives
TLDR
A programming model for obtaining attribute weight based on deviation between synthesizing values and preference values on alternatives is solved, based on the possibility degree formula of triangular fuzzy numbers and priority formula of complementary judgment matrix.
Study on Method for Triangular Fuzzy Number-Based Multi-Attribute Decision Making With Preference Information on Alternatives
  • Xu Ze
  • Computer Science
  • 2002
TLDR
A linear programming model is established, and the attribute weights are derived by solving this model, and based on a possibility degree formula for comparing two triangular fuzzy numbers and a formula for priorities of complementary judgement matrix, a priority method for alternatives is presented.
TOPSIS-Based Nonlinear-Programming Methodology for Multiattribute Decision Making With Interval-Valued Intuitionistic Fuzzy Sets
  • Dengfeng Li
  • Computer Science
    IEEE Transactions on Fuzzy Systems
  • 2010
TLDR
A nonlinear-programming methodology based on the technique for order preference by similarity to ideal solution to solve multiattribute decision-making (MADM) problems with both ratings of alternatives on attributes and weights of attributes expressed with IVIF sets is developed.
Multiple-Attribute Group Decision Making With Different Formats of Preference Information on Attributes
  • Zeshui Xu
  • Economics, Computer Science
    IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)
  • 2007
TLDR
A goal-programming model is established to integrate the expected decision matrix and all three different uncertain-preference formats from which the attribute weights and the overall attribute values of alternatives can be obtained and can avoid losing and distorting the given objective and subjective decision information in the process of information integration.
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