In multi-objective decision problems many values must
be assigned, such as the importance of the different
criteria and the values of the alternatives with
respect to subjective criteria. Since these assignments
are approximate, it is very important to analyse the
sensitivity of results when small modifications of the
assignments are made. When solving a multicriteria
decision problem, it is desirable to choose a decision
function that leads to a solution as stable as
possible. Proposed here is a method based on genetic
programming that produces better decision functions
than the commonly used ones. The theoretical
expectations are validated by case studies.
Code:crad20050806
http://219.238.6.200/journal?code=58
College of Information Science and Engineering, Central
South University, Changsha 410083, China
Institute of Information Science, College of Hunan
Business, Changsha 410205, China
Copyright 2005 Science in China Press ?ICP?05023005?
%0 Journal Article
%1 SichunWang:2005:JCRD
%A Wang, Sichun
%A Zhang, Taishan
%A Yin, Zhiyun
%A Zhang, Chuwen
%D 2005
%J Journal of Computer Research and Development
%K algorithms, analysis, decision functions, genetic programming, stability support system
%N 8
%P 1318--1323
%R doi:10.1360/crad20050806
%T Stability Analysis of Multiobjective Decision
Functions Based on GP
%U http://219.238.6.200/article?code=crad20050806&jccode=58
%V 42
%X In multi-objective decision problems many values must
be assigned, such as the importance of the different
criteria and the values of the alternatives with
respect to subjective criteria. Since these assignments
are approximate, it is very important to analyse the
sensitivity of results when small modifications of the
assignments are made. When solving a multicriteria
decision problem, it is desirable to choose a decision
function that leads to a solution as stable as
possible. Proposed here is a method based on genetic
programming that produces better decision functions
than the commonly used ones. The theoretical
expectations are validated by case studies.
@article{SichunWang:2005:JCRD,
abstract = {In multi-objective decision problems many values must
be assigned, such as the importance of the different
criteria and the values of the alternatives with
respect to subjective criteria. Since these assignments
are approximate, it is very important to analyse the
sensitivity of results when small modifications of the
assignments are made. When solving a multicriteria
decision problem, it is desirable to choose a decision
function that leads to a solution as stable as
possible. Proposed here is a method based on genetic
programming that produces better decision functions
than the commonly used ones. The theoretical
expectations are validated by case studies.},
added-at = {2008-06-19T17:35:00.000+0200},
author = {Wang, Sichun and Zhang, Taishan and Yin, Zhiyun and Zhang, Chuwen},
biburl = {https://www.bibsonomy.org/bibtex/2b21495b5fce7636c7cdd0c0d7ddb2987/brazovayeye},
doi = {doi:10.1360/crad20050806},
interhash = {3f6a76269f0d2349bbded1cf6f49f3d5},
intrahash = {b21495b5fce7636c7cdd0c0d7ddb2987},
journal = {Journal of Computer Research and Development},
keywords = {algorithms, analysis, decision functions, genetic programming, stability support system},
notes = {Code:crad20050806
http://219.238.6.200/journal?code=58
College of Information Science and Engineering, Central
South University, Changsha 410083, China
Institute of Information Science, College of Hunan
Business, Changsha 410205, China
Copyright 2005 Science in China Press ?ICP?05023005?},
number = 8,
pages = {1318--1323},
timestamp = {2008-06-19T17:53:52.000+0200},
title = {Stability Analysis of Multiobjective Decision
Functions Based on {GP}},
url = {http://219.238.6.200/article?code=crad20050806&jccode=58},
volume = 42,
year = 2005
}