DocumentCode :
2914055
Title :
Decision models evaluation using fuzzy pattern recognition
Author :
Ren, Minglun ; Duan, Juanjuan ; Yang, Shanlin
Author_Institution :
Hefei Univ. of Technol., Hefei
fYear :
2007
fDate :
18-20 Nov. 2007
Firstpage :
1035
Lastpage :
1039
Abstract :
Artificial intelligent models such as Artificial Neural Network, Genetic Algorithms, etc., play important roles in decision making. However, diversity in natures of intelligent models makes it difficult to decide which model is the most suitable one in solving certain decision problems. This paper proposes criteria of deferent suitability levels to evaluate the suitability of intelligent methods to decision environments, and presents a procedural method to calculate the suitability levels using Fuzzy Pattern Recognition. It analyzes various attributes related to decision problems and decision support systems´ performance, then proposes a term SMP (Suitability of Model to decision Problem) for evaluating the suitability of decision models to certain decision problems. The influences of various attributes and preferences of decision makers are further explored, and a concept of SSMP (Synthetic SMP) is proposed to address human aspects in decision making. The paper presents a procedural method to calculate SMP and SSMP. Experimental calculation result shows this method is applicable in decision models selection.
Keywords :
decision making; decision support systems; fuzzy set theory; knowledge based systems; matrix algebra; pattern recognition; artificial intelligent decision model evaluation; decision making problems; decision support system performance; fuzzy criterion matrix; fuzzy pattern recognition; suitability levels; synthetic SMP; Artificial intelligence; Artificial neural networks; Decision making; Fuzzy neural networks; Fuzzy systems; Genetic algorithms; Humans; Intelligent networks; Intelligent systems; Pattern recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Grey Systems and Intelligent Services, 2007. GSIS 2007. IEEE International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-1294-5
Electronic_ISBN :
978-1-4244-1294-5
Type :
conf
DOI :
10.1109/GSIS.2007.4443430
Filename :
4443430
Link To Document :
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