A Fuzzy Optimization Method for Multi-criteria Decision-making Problem Based on the Inclusion Degrees of Intuitionistic Fuzzy Sets

Journal Home
Volume 19 - 2024
- Vol. 19, Issue 2 pp.81-190
- Vol. 19, Issue 1 pp.1-80
Volume 18 - 2023
- Vol. 18, Issue 2 pp.81-160
- Vol. 18, Issue 1 pp.1-80
Volume 17 - 2022
- Vol. 17, Issue 2 pp.83-160
- Vol. 17, Issue 1 pp.1-80
Volume 16 - 2021
- Vol. 16, Issue 2 pp.83-159
- Vol. 16, Issue 1 pp.1-80
Volume 15 - 2020
- Vol. 15, Issue 2 pp.83-160
- Vol. 15, Issue 1 pp.1-73
Volume 14 - 2019
- Vol. 14, Issue 4 pp.243-320
- Vol. 14, Issue 3 pp.163-240
- Vol. 14, Issue 2 pp.83-160
- Vol. 14, Issue 1 pp.1-80
Volume 13 - 2018
- Vol. 13, Issue 4 pp.243-320
- Vol. 13, Issue 3 pp.163-240
- Vol. 13, Issue 2 pp.83-160
- Vol. 13, Issue 1 pp.1-80
Volume 12 - 2017
- Vol. 12, Issue 4 pp.243-320
- Vol. 12, Issue 3 pp.163-240
- Vol. 12, Issue 2 pp.83-160
- Vol. 12, Issue 1 pp.1-80
Volume 11 - 2016
- Vol. 11, Issue 4 pp.243-320
- Vol. 11, Issue 3 pp.163-240
- Vol. 11, Issue 2 pp.83-160
- Vol. 11, Issue 1 pp.1-80
Volume 10 - 2015
- Vol. 10, Issue 4 pp.243-320
- Vol. 10, Issue 3 pp.163-240
- Vol. 10, Issue 2 pp.83-160
- Vol. 10, Issue 1 pp.1-80
Volume 9 - 2014
- Vol. 9, Issue 4 pp.243-320
- Vol. 9, Issue 3 pp.163-240
- Vol. 9, Issue 2 pp.83-153
- Vol. 9, Issue 1 pp.1-80
Volume 8 - 2013
- Vol. 8, Issue 4 pp.243-320
- Vol. 8, Issue 3 pp.163-240
- Vol. 8, Issue 2 pp.83-160
- Vol. 8, Issue 1 pp.1-80
Volume 7 - 2012
- Vol. 7, Issue 4 pp.243-320
- Vol. 7, Issue 3 pp.163-240
- Vol. 7, Issue 2 pp.83-160
- Vol. 7, Issue 1 pp.1-80
Volume 6 - 2011
- Vol. 6, Issue 4 pp.243-320
- Vol. 6, Issue 3 pp.163-240
- Vol. 6, Issue 2 pp.83-160
- Vol. 6, Issue 1 pp.1-80
Volume 5 - 2010
- Vol. 5, Issue 4 pp.243-320
- Vol. 5, Issue 3 pp.163-240
- Vol. 5, Issue 2 pp.83-160
- Vol. 5, Issue 1 pp.1-80
Volume 4 - 2009
- Vol. 4, Issue 4 pp.243-320
- Vol. 4, Issue 3 pp.161-239
- Vol. 4, Issue 2 pp.83-160
- Vol. 4, Issue 1 pp.1-80
Volume 3 - 2008
- Vol. 3, Issue 4 pp.243-268
- Vol. 3, Issue 3 pp.163-224
- Vol. 3, Issue 2 pp.83-152
- Vol. 3, Issue 1 pp.1-72
Volume 2 - 2007
- Vol. 2, Issue 4 pp.243-298
- Vol. 2, Issue 3 pp.163-240
- Vol. 2, Issue 2 pp.85-160
- Vol. 2, Issue 1 pp.1-80
Volume 1 - 2006
- Vol. 1, Issue 5 pp.259-317
- Vol. 1, Issue 4 pp.195-256
- Vol. 1, Issue 3 pp.129-192
- Vol. 1, Issue 2 pp.65-128
- Vol. 1, Issue 1 pp.1-64

Volume 3, Issue 2

J. Info. Comput. Sci. , 3 (2008), pp. 139-145.

[An open-access article; the PDF is free to any online user.]

Full PDF 159 2354

Cited by

google scholar semantic scholar

Export citation

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.

Keywords

second-order cone programming, smoothing method, smoothing variable, global convergence.

AMS Subject Headings

Email address

BibTex
RIS
TXT

@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 = {2008}, 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 = {3080-180X}, 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 - 2008 DA - 2008/06 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.

. (2008). 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:

Copy to clipboard

BibteX RIS TXT

The citation has been copied to your clipboard

- LOGIN -

- E-mail verification -

- REGISTER -