A Fuzzy Optimization Method for Multi-criteria Decision-making Problem Based on the Inclusion Degrees of Intuitionistic Fuzzy Sets
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@Article{JICS-3-139,
author = {},
title = {A Fuzzy Optimization Method for Multi-criteria Decision-making Problem Based on the Inclusion Degrees of Intuitionistic Fuzzy Sets},
journal = {Journal of Information and Computing Science},
year = {2024},
volume = {3},
number = {2},
pages = {139--145},
abstract = { Based on the Chen-Harker-Kanzow-Smale smoothing function, a smoothing method with a
smoothing variable is proposed for solving the second-order cone programming. Our algorithm needs to
solve only one linear system of equations and to perform only one line search at each iteration. Without
restrictions regarding its starting point, the algorithm is shown to be globally convergent.
},
issn = {1746-7659},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/jics/22777.html}
}
TY - JOUR
T1 - A Fuzzy Optimization Method for Multi-criteria Decision-making Problem Based on the Inclusion Degrees of Intuitionistic Fuzzy Sets
AU -
JO - Journal of Information and Computing Science
VL - 2
SP - 139
EP - 145
PY - 2024
DA - 2024/01
SN - 3
DO - http://doi.org/
UR - https://global-sci.org/intro/article_detail/jics/22777.html
KW - second-order cone programming, smoothing method, smoothing variable, global convergence.
AB - Based on the Chen-Harker-Kanzow-Smale smoothing function, a smoothing method with a
smoothing variable is proposed for solving the second-order cone programming. Our algorithm needs to
solve only one linear system of equations and to perform only one line search at each iteration. Without
restrictions regarding its starting point, the algorithm is shown to be globally convergent.
. (2024). A Fuzzy Optimization Method for Multi-criteria Decision-making Problem Based on the Inclusion Degrees of Intuitionistic Fuzzy Sets.
Journal of Information and Computing Science. 3 (2).
139-145.
doi:
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