DocumentCode :
2752305
Title :
Multicriterion Decision Making with Depen ent Preferences
Author :
Stirling, Wynn C. ; Frost, Richard L. ; Nokleby, Matthew S. ; Luo, Yabing
Author_Institution :
Dept. of Electr. & Comput. Eng., Brigham Young Univ., Provo, UT
fYear :
2007
fDate :
1-5 April 2007
Firstpage :
227
Lastpage :
234
Abstract :
If preferential independence is assumed inappropriately when developing multicriterion search methods, biased results may occur. A new axiomatic approach to defining conditional preference orderings that naturally accounts for preferential dependencies is presented and illustrated. This approach applies both to scalar optimization techniques that identify a best solution and to evolutionary optimization approaches that approximate the Pareto frontier
Keywords :
Pareto optimisation; approximation theory; decision making; evolutionary computation; operations research; search problems; Pareto frontier approximation; conditional preference ordering; dependent preferences; evolutionary optimization; multicriterion decision making; multicriterion search methods; preferential independence; scalar optimization; Aggregates; Computational intelligence; Crops; Decision making; Evolutionary computation; Humans; Pareto optimization; Rain; Search methods; USA Councils;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence in Multicriteria Decision Making, IEEE Symposium on
Conference_Location :
Honolulu, HI
Print_ISBN :
1-4244-0702-8
Type :
conf
DOI :
10.1109/MCDM.2007.369442
Filename :
4223008
Link To Document :
بازگشت