DocumentCode :
3115463
Title :
Intuitionistic fuzzy cognitive map based on fuzzy measure and integral
Author :
Guo-Fang Zhang ; Li-Hui He ; Yu-Ting Jiang ; Yue Wang
Author_Institution :
Fac. of Math. & Comput. Sci., Hebei Univ., Baoding, China
Volume :
01
fYear :
2013
fDate :
14-17 July 2013
Firstpage :
188
Lastpage :
193
Abstract :
Fuzzy measure is a kind of set function which can represent the interaction of IF-THEN rules in reasoning, and fuzzy integral is decision tool in information fusion and process control problem. Although the fuzzy cognitive map model is an effective approach in reason process and the intuitionistic fuzzy cognitive map model introduces intuitionistic fuzzy set which uses the hesitancy as the indeterminacy degree on the inputs, it doesn´t deal with the interaction of the IF-THEN rules in the construction of an FCM. Considering the issue, we propose a new method on fuzzy cognitive map in which the fuzzy measure and fuzzy integral is the basis of the FMIFCM¿called method, and we also present the mathematical framework of the fuzzy measure, the fuzzy integral for the definition of the relative concept and the deduction of the necessary reasoning formulation. What´s more, experiment is implemented on process control problem about the industrial chemic, and the experimental results show the proposed method (FMIFCM) is effective for reasoning, compared with the traditional fuzzy cognitive map and the precious intuitionistic fuzzy cognitive map.
Keywords :
cognitive systems; fuzzy set theory; inference mechanisms; FMIFCM; fuzzy integral; fuzzy measure; intuitionistic fuzzy cognitive map; reasoning formulation; Abstracts; Cognition; Mathematical model; Process control; Fuzzy cognitive maps; Fuzzy integral; Fuzzy measure; Reasoning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2013 International Conference on
Conference_Location :
Tianjin
Type :
conf
DOI :
10.1109/ICMLC.2013.6890467
Filename :
6890467
Link To Document :
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